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As an integral component of the Master of Science in Statistical Science program, you can submit and defend a Master's Thesis. Your Master's Committee administers this oral examination. If you choose to defend a thesis, it is advisable to commence your research early, ideally during your second semester or the summer following your first year in the program. It's essential to allocate sufficient time for the thesis writing process. Your thesis advisor, who also serves as the committee chair, must approve both your thesis title and proposal. The final thesis work necessitates approval from all committee members and must adhere to the  Master's thesis requirements  set forth by the Duke University Graduate School.

Master’s BEST Award 

Each second-year Duke Master’s of Statistical Science (MSS) student defending their MSS thesis may be eligible for the  Master’s BEST Award . The Statistical Science faculty BEST Award Committee selects the awardee based on the submitted thesis of MSS thesis students, and the award is presented at the departmental graduation ceremony. 

Thesis Proposal

All second-year students choosing to do a thesis must submit a proposal (not more than two pages) approved by their thesis advisor to the Master's Director via Qualtrics by November 10th.  The thesis proposal should include a title,  the thesis advisor, committee members, and a description of your work. The description must introduce the research topic, outline its main objectives, and emphasize the significance of the research and its implications while identifying gaps in existing statistical literature. In addition, it can include some of the preliminary results. 

Committee members

MSS Students will have a thesis committee, which includes three faculty members - two must be departmental primary faculty, and the third could be from an external department in an applied area of the student’s interest, which must be a  Term Graduate Faculty through the Graduate School or have a secondary appointment with the Department of Statistical Science. All Committee members must be familiar with the Student’s work.  The department coordinates Committee approval. The thesis defense committee must be approved at least 30 days before the defense date.

Thesis Timeline and  Departmental Process:

Before defense:.

Intent to Graduate: Students must file an Intent to Graduate in ACES, specifying "Thesis Defense" during the application. For graduation deadlines, please refer to https://gradschool.duke.edu/academics/preparing-graduate .

Scheduling Thesis Defense: The student collaborates with the committee to set the date and time for the defense and communicates this information to the department, along with the thesis title. The defense must be scheduled during regular class sessions. Be sure to review the thesis defense and submission deadlines at https://gradschool.duke.edu/academics/theses-and-dissertations/

Room Reservations: The department arranges room reservations and sends confirmation details to the student, who informs committee members of the location.

Defense Announcement: The department prepares a defense announcement, providing a copy to the student and chair. After approval, it is signed by the Master's Director and submitted to the Graduate School. Copies are also posted on department bulletin boards.

Initial Thesis Submission: Two weeks before the defense, the student submits the initial thesis to the committee and the Graduate School. Detailed thesis formatting guidelines can be found at https://gradschool.duke.edu/academics/theses-and-dissertations.

Advisor Notification: The student requests that the advisor email [email protected] , confirming the candidate's readiness for defense. This step should be completed before the exam card appointment.

Format Check Appointment: One week before the defense, the Graduate School contacts the student to schedule a format check appointment. Upon approval, the Graduate School provides the Student Master’s Exam Card, which enables the student to send a revised thesis copy to committee members.

MSS Annual Report Form: The department provides the student with the MSS Annual Report Form to be presented at the defense.

Post Defense:

Communication of Defense Outcome: The committee chair conveys the defense results to the student, including any necessary follow-up actions in case of an unsuccessful defense.

In Case of Failure: If a student does not pass the thesis defense, the committee's decision to fail the student must be accompanied by explicit and clear comments from the chair, specifying deficiencies and areas that require attention for improvement.

Documentation: The student should ensure that the committee signs the Title Page, Abstract Page, and Exam Card.

Annual Report Form: The committee chair completes the Annual Report Form.

Master's Director Approval: The Master's director must provide their approval by signing the Exam Card.

Form Submission: Lastly, the committee chair is responsible for returning all completed and signed forms to the Department.

Final Thesis Submission: The student must meet the Graduate School requirement by submitting the final version of their Thesis to the Graduate School via ProQuest before the specified deadline. For detailed information, visit https://gradschool.duke.edu/academics/preparinggraduate .

  • The Stochastic Proximal Distance Algorithm
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Statistician Cover Letter Example (Free Guide)

Create an statistician cover letter that lands you the interview with our free examples and writing tips. use and customize our template and land an interview today..

Statistician Cover Letter Example

Whether you are just starting out your career in statistics or have been working in the field for years, you need a great cover letter to set yourself apart from the competition. Our Statistician Cover Letter Guide provides comprehensive advice and tips to help you craft a compelling cover letter that stands out from the crowd and gets you the job you want.

We will cover:

  • How to write a cover letter, no matter your industry or job title.
  • What to put on a cover letter to stand out.
  • The top skills employers from every industry want to see.
  • How to build a cover letter fast with our professional Cover Letter Builder .
  • What a cover letter template is, and why you should use it.

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Statistician Cover Letter Sample

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Dear [Hiring Manager],

I am writing to apply for the Statistician position at [Company Name]. I believe my skills and experience make me an ideal candidate for this role.

I am currently working as a Statistician for [Company Name], where I have been for the past two years. During this time, I have developed strong technical skills in statistical analysis, data mining, data visualization, and predictive analytics. I have also gained experience in programming languages such as Python, R, and SQL, as well as working with various data sources. In addition, I have extensive experience with data analysis software such as SPSS, SAS, and STATA.

I am passionate about using my skills to solve complex problems and uncover key insights. My background in mathematics and statistics has allowed me to develop a strong understanding of statistical concepts and methods. I have a proven track record of utilizing these skills to interpret and analyze data, identify trends, and make accurate predictions. I am also very experienced in using data visualization techniques to communicate findings to stakeholders.

I am confident that I can bring my experience and enthusiasm to your organization. In addition to my technical skills, I am also a highly organized and motivated individual who loves to work in a fast-paced environment. I am eager to contribute to your team and help to drive your organization's success.

Thank you for considering me for this position. I am looking forward to discussing the role and my qualifications in more detail.

Sincerely, [Your Name]

Why Do you Need a Statistician Cover Letter?

  • A Statistician cover letter is a great way to highlight your skills and accomplishments in a concise and professional way.
  • It will give employers a clear indication of your qualifications and experience in the field.
  • It is also a great way to demonstrate your knowledge of the statistical techniques and concepts used in the field.
  • A Statistician cover letter also shows potential employers that you are a motivated and hardworking individual who is willing to work to achieve success.
  • Your cover letter will also give employers the opportunity to learn about your personality and interests.
  • Finally, a Statistician cover letter is a great way to demonstrate your commitment to the field and your passion for the work.

A Few Important Rules To Keep In Mind

  • Make sure the cover letter is tailored to the job you are applying for.
  • Highlight your statistical qualifications, research experience, and experience with software.
  • Be sure to include any publications you have been involved in, and any awards or honors you have received.
  • Mention any special skills you have, such as knowledge of programming languages or data analysis techniques.
  • Explain why you are a good fit for the position, and what you can bring to the table.
  • Keep it concise and to the point.
  • Proofread it for any typos or errors.
  • Include your contact information at the end.

What's The Best Structure For Statistician Cover Letters?

After creating an impressive Statistician resume , the next step is crafting a compelling cover letter to accompany your job applications. It's essential to remember that your cover letter should maintain a formal tone and follow a recommended structure. But what exactly does this structure entail, and what key elements should be included in a Statistician cover letter? Let's explore the guidelines and components that will make your cover letter stand out.

Key Components For Statistician Cover Letters:

  • Your contact information, including the date of writing
  • The recipient's details, such as the company's name and the name of the addressee
  • A professional greeting or salutation, like "Dear Mr. Levi,"
  • An attention-grabbing opening statement to captivate the reader's interest
  • A concise paragraph explaining why you are an excellent fit for the role
  • Another paragraph highlighting why the position aligns with your career goals and aspirations
  • A closing statement that reinforces your enthusiasm and suitability for the role
  • A complimentary closing, such as "Regards" or "Sincerely," followed by your name
  • An optional postscript (P.S.) to add a brief, impactful note or mention any additional relevant information.

Cover Letter Header

A header in a cover letter should typically include the following information:

  • Your Full Name: Begin with your first and last name, written in a clear and legible format.
  • Contact Information: Include your phone number, email address, and optionally, your mailing address. Providing multiple methods of contact ensures that the hiring manager can reach you easily.
  • Date: Add the date on which you are writing the cover letter. This helps establish the timeline of your application.

It's important to place the header at the top of the cover letter, aligning it to the left or center of the page. This ensures that the reader can quickly identify your contact details and know when the cover letter was written.

Cover Letter Greeting / Salutation

A greeting in a cover letter should contain the following elements:

  • Personalized Salutation: Address the hiring manager or the specific recipient of the cover letter by their name. If the name is not mentioned in the job posting or you are unsure about the recipient's name, it's acceptable to use a general salutation such as "Dear Hiring Manager" or "Dear [Company Name] Recruiting Team."
  • Professional Tone: Maintain a formal and respectful tone throughout the greeting. Avoid using overly casual language or informal expressions.
  • Correct Spelling and Title: Double-check the spelling of the recipient's name and ensure that you use the appropriate title (e.g., Mr., Ms., Dr., or Professor) if applicable. This shows attention to detail and professionalism.

For example, a suitable greeting could be "Dear Ms. Johnson," or "Dear Hiring Manager," depending on the information available. It's important to tailor the greeting to the specific recipient to create a personalized and professional tone for your cover letter.

Cover Letter Introduction

An introduction for a cover letter should capture the reader's attention and provide a brief overview of your background and interest in the position. Here's how an effective introduction should look:

  • Opening Statement: Start with a strong opening sentence that immediately grabs the reader's attention. Consider mentioning your enthusiasm for the job opportunity or any specific aspect of the company or organization that sparked your interest.
  • Brief Introduction: Provide a concise introduction of yourself and mention the specific position you are applying for. Include any relevant background information, such as your current role, educational background, or notable achievements that are directly related to the position.
  • Connection to the Company: Demonstrate your knowledge of the company or organization and establish a connection between your skills and experiences with their mission, values, or industry. Showcasing your understanding and alignment with their goals helps to emphasize your fit for the role.
  • Engaging Hook: Consider including a compelling sentence or two that highlights your unique selling points or key qualifications that make you stand out from other candidates. This can be a specific accomplishment, a relevant skill, or an experience that demonstrates your value as a potential employee.
  • Transition to the Body: Conclude the introduction by smoothly transitioning to the main body of the cover letter, where you will provide more detailed information about your qualifications, experiences, and how they align with the requirements of the position.

By following these guidelines, your cover letter introduction will make a strong first impression and set the stage for the rest of your application.

Cover Letter Body

Dear [Name],

I am writing to apply for the role of Statistician at [Company Name]. With my experience and background in statistics, I am confident I possess the necessary skills to make an immediate contribution to your team.

I have a M.Sc. in Statistics from [University Name], and I am a certified member of the American Statistical Association. During my studies, I developed a great interest in data science and analytics and have since acquired a variety of skills in this area. I am also experienced in the use of various software packages, including SPSS, SAS, and MATLAB.

In my current role as a Statistician at [Company Name], I have been responsible for analyzing data, creating reports, and presenting results to stakeholders. I am well-versed in developing statistical models and using them to make predictions and draw conclusions. I am also proficient in the use of big data analytics and machine learning algorithms to gain insights from large datasets.

I have a great passion for data and statistics, and I am confident that I can make a positive impact on your team. I am comfortable working independently as well as collaboratively, and I am a quick learner who takes initiative and is always looking for new ways to improve my skills. I believe my qualifications and experience make me the ideal candidate for this position.

Thank you for your consideration. I look forward to hearing from you and discussing the role further.

Complimentary Close

The conclusion and signature of a cover letter provide a final opportunity to leave a positive impression and invite further action. Here's how the conclusion and signature of a cover letter should look:

  • Summary of Interest: In the conclusion paragraph, summarize your interest in the position and reiterate your enthusiasm for the opportunity to contribute to the organization or school. Emphasize the value you can bring to the role and briefly mention your key qualifications or unique selling points.
  • Appreciation and Gratitude: Express appreciation for the reader's time and consideration in reviewing your application. Thank them for the opportunity to be considered for the position and acknowledge any additional materials or documents you have included, such as references or a portfolio.
  • Call to Action: Conclude the cover letter with a clear call to action. Indicate your availability for an interview or express your interest in discussing the opportunity further. Encourage the reader to contact you to schedule a meeting or provide any additional information they may require.
  • Complimentary Closing: Choose a professional and appropriate complimentary closing to end your cover letter, such as "Sincerely," "Best Regards," or "Thank you." Ensure the closing reflects the overall tone and formality of the letter.
  • Signature: Below the complimentary closing, leave space for your handwritten signature. Sign your name in ink using a legible and professional style. If you are submitting a digital or typed cover letter, you can simply type your full name.
  • Typed Name: Beneath your signature, type your full name in a clear and readable font. This allows for easy identification and ensures clarity in case the handwritten signature is not clear.

Common Mistakes to Avoid When Writing a Statistician Cover Letter

When crafting a cover letter, it's essential to present yourself in the best possible light to potential employers. However, there are common mistakes that can hinder your chances of making a strong impression. By being aware of these pitfalls and avoiding them, you can ensure that your cover letter effectively highlights your qualifications and stands out from the competition. In this article, we will explore some of the most common mistakes to avoid when writing a cover letter, providing you with valuable insights and practical tips to help you create a compelling and impactful introduction that captures the attention of hiring managers. Whether you're a seasoned professional or just starting your career journey, understanding these mistakes will greatly enhance your chances of success in the job application process. So, let's dive in and discover how to steer clear of these common missteps and create a standout cover letter that gets you noticed by potential employers.

  • Not doing enough research on the company and the position.
  • Not tailoring the cover letter to the specific job.
  • Using too many clichés and generic language.
  • Not proofreading the cover letter for errors.
  • Including too much information in the cover letter.
  • Not addressing the cover letter to the appropriate person.
  • Not providing enough detail about relevant experience.
  • Not including a call to action at the end of the letter.
  • Using a generic template for the cover letter.
  • Not emphasizing how the candidate’s skills and experience would benefit the company.

Key Takeaways For a Statistician Cover Letter

  • Highlight your experience analyzing data sets and using statistical methods to draw meaningful conclusions.
  • Mention your proficiency with programming languages, software, and tools related to statistics.
  • Emphasize your ability to interpret results and communicate them to non-technical audiences.
  • Demonstrate your familiarity with the latest trends and developments in the field of statistics.
  • Showcase your ability to collaborate with other disciplines to solve complex problems.
  • Express your enthusiasm for working in a data-driven environment.

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Statistician Cover Letter Examples

Use these Statistician cover letter examples to help you write a powerful cover letter that will separate you from the competition.

sample letter for statistician for thesis

Statisticians use mathematical and statistical methods to collect and analyze data. They work in a variety of industries, including business, government, and healthcare.

To land a job as a statistician, you need a well-written cover letter. Use these examples to learn how to write a cover letter that will make hiring managers want to meet you in person.

Formal/Professional Writing Style Example

As a highly skilled Statistician with a strong background in statistical analysis, data interpretation, and predictive modeling, I am confident that my expertise aligns with the requirements for this position.

I have earned a Master’s degree in Statistics from XYZ University, where I developed a strong foundation in statistical theories, techniques, and cutting-edge methodologies such as Big Data analysis and machine learning algorithms. Throughout my career, I have demonstrated an exceptional ability to apply these skills in predicting and analyzing trends, patterns, and relationships in complex data sets. My ability to impart statistical findings in an accessible and comprehensive manner to cross-functional teams has consistently resulted in data-driven decision-making and improved operational efficiency.

Most notably, in my recent role as a Statistician for ABC Company, I revitalized its data analytics framework by implementing new models and processes that contributed to a 15% increase in revenue growth over two years. My expertise extends to using statistical software such as R, Python, and SAS to optimize the accuracy and efficiency of data analyses.

In addition to my technical prowess, my strong communication and interpersonal skills enable me to cultivate productive relationships with colleagues and enhance team performance. I am adept at breaking down complex statistical concepts for non-technical stakeholders, ensuring that my analyses remain relevant and actionable for decision-makers.

I am excited about the prospect of joining XYZ Organization and contributing my comprehensive skill set to optimize your data-driven practices. Thank you for considering my application. I look forward to the opportunity to discuss how my qualifications align with your needs and how I can contribute to your organization’s continued success.

Yours sincerely,

[Your Name]

Entry-Level Writing Style Example

As a recent graduate with a Bachelor of Science in Statistics from the University of X, I am excited to begin my career as a Statistician with a reputable organization such as yours.

Throughout my academic journey, I gained extensive knowledge in both theoretical and applied statistics. I have a strong foundation in statistical methodologies, including regression analysis, hypothesis testing, and data mining. Additionally, I have hands-on experience with statistical software programs such as R, SAS, STATA, and Python, as shown in my attached resume.

During my time at the University of X, I completed an internship at the Y Research Institute, where I worked on a statistical analysis project to identify patterns and trends in large datasets. This experience allowed me to develop my skills in data visualization, interpretation, and communication while working in a team environment. I am eager to apply these skills to a role within your organization to contribute valuable insights and drive evidence-based decision making.

I am confident that my strong analytical skills, combined with my dedication to the field, will make me a valuable asset to your organization. I am looking forward to the opportunity to discuss my qualifications further in a personal interview.

Thank you for considering my application. I am eager to learn more about the Statistician position at your esteemed company and share how my skills and experiences align with your needs.

Networking/Referral Writing Style Example

I was referred to this opportunity by my esteemed colleague, Dr. John Doe, who has been a valuable mentor and longtime friend. Our relationship started several years ago when we both served as research assistants during our graduate studies. Since then, we have continued to collaborate on various research projects and have co-authored several publications in top-tier academic journals. I believe this long-standing relationship and our mutual interest in advanced statistical methodologies have instilled in me the professional skills and dedication necessary to excel in this role.

As a statistician with over five years of experience working in academia and the pharmaceutical industry, I have honed my expertise in statistical modeling, simulation, and data analysis. In my current role as a Senior Statistician at XYZ Pharma, I have successfully managed several clinical trial projects, ensuring timely and accurate delivery of data analysis and interpretation while adhering to strict regulatory guidelines.

I believe that my combined theoretical knowledge and practical experience make me an ideal candidate for your organization. I am confident that, if given the opportunity, I can contribute significantly to your team by applying my analytical and problem-solving skills to tackle complex statistical problems.

Thank you for considering my application. I am eager to discuss this opportunity further and I am available for an interview at your earliest convenience.

Enthusiastic/Passionate Writing Style Example

From the moment I discovered the power and beauty of numbers, I knew that a career as a Statistician would fulfill my deep-seated desire to make a meaningful impact on the world using the untapped potential of data. Your company’s reputation for excellence and innovation struck a chord within me that resonates with my own professional aspirations.

As a Statistician with a Master’s degree in Statistics and over five years of experience in various industries, I have developed a deep expertise in statistical analysis, predictive modeling, and data visualization. My technical skills are complemented by my passion for maintaining precision and integrity in every data-driven endeavor. I have successfully leveraged these skills to drive efficient decision making, uncover invaluable insights, and propel organizations forward.

One of my proudest accomplishments was leading a team that developed an innovative predictive model for improving supply chain efficiency, which resulted in a 15% reduction in operational costs for our clients. This experience demonstrated my flair for leadership, team collaboration, and my unyielding commitment to excellence.

Your organization and its emphasis on harnessing the power of data to create informed solutions have captivated my professional heart; the opportunity to contribute to your ongoing success would be an absolute privilege. I am eager to apply my expertise and passion and look forward to discussing how my experience can greatly benefit your organization.

Thank you for considering my application. I hope to have the chance to prove to you that my passion for statistics and dedication to excellence would make me an invaluable asset to your remarkable team.

Problem-Solving Writing Style Example

As an experienced statistician with a strong academic background in mathematics and statistics, I have closely followed the challenges your company has faced in recent times in terms of effectively analyzing, interpreting, and visualizing complex data sets. I believe my skills and experience make me the ideal candidate to help address these problems and contribute to the company’s continued success.

I am particularly excited by your company’s focus on data-driven decision making and how my expertise in statistical methodologies can further enhance this approach. In my previous role as a Statistician at XYZ Company, I successfully analyzed large datasets to identify trends, patterns, and anomalies that helped optimize business processes and improve performance. I also collaborated with cross-functional teams, incorporating domain knowledge and statistical expertise to develop innovative solutions to complex problems.

I am proficient in various statistical tools and software packages such as R, Python, SAS, and SPSS. I have experience in managing data pipelines, conducting exploratory data analysis, and developing methodologies to gather actionable insights. Additionally, my ability to accurately convey complex statistical results through effective written and verbal communication will further contribute to the seamless integration of my work with the broader team’s goals.

Furthermore, I understand the importance of staying updated with the latest advancements in statistical techniques and methodologies. As a result, I regularly attend workshops, conferences, and online courses to ensure that my skills remain at the cutting edge, making me capable of tackling any new challenges that emerge.

With my strong analytical abilities and passion for data-driven decision making, I am confident that I can make a significant impact as a valuable member of your team. Thank you for considering my application. I look forward to the opportunity to discuss how my background and skills can contribute to the growth and success of your company.

Storytelling/Narrative Writing Style Example

As I sat in my college statistics class, eagerly scribbling notes and devouring every word my professor spoke, I couldn’t help but feel a sense of wonder and excitement. My passion for statistics was ignited in that very classroom, where I discovered the power of data in driving decision-making and shaping the world around us. Today, I am thrilled to apply for the Statistician role at your organization and contribute my skills and enthusiasm to your team.

I recall a specific project during my tenure at XYZ Company, where I was tasked with analyzing sales data to determine the effectiveness of our marketing campaigns. The challenge of sifting through vast amounts of data, identifying patterns, and ultimately presenting actionable insights to my colleagues was exhilarating. My in-depth analysis enabled our team to pinpoint successful strategies, adjust our approach, and ultimately increase our sales by 30% within six months.

This experience, along with my strong academic background in statistics and mathematics, has equipped me with the technical skills and analytical mindset necessary to excel in this role. I am confident in my ability to design experiments, analyze complex data sets, and communicate findings in a clear and concise manner.

My passion for statistics extends beyond the workplace, as I regularly attend industry conferences and workshops to stay abreast of the latest trends and advancements. I am always eager to learn and grow in my field, and I am confident that my dedication will make me a valuable asset to your organization.

Thank you for considering my application. I am excited about the opportunity to contribute to your team and further develop my statistical career. I look forward to discussing my qualifications with you in greater detail.

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What do senior theses in Statistics look like?

This is a brief overview of thesis writing; for more information, please see our website here . Senior theses in Statistics cover a wide range of topics, across the spectrum from applied to theoretical. Typically, senior theses are expected to have one of the following three flavors:                                                                                                            

1. Novel statistical theory or methodology, supported by extensive mathematical and/or simulation results, along with a clear account of how the research extends or relates to previous related work.

2. An analysis of a complex data set that advances understanding in a related field, such as public health, economics, government, or genetics. Such a thesis may rely entirely on existing methods, but should give useful results and insights into an interesting applied problem.                                                                                 

3. An analysis of a complex data set in which new methods or modifications of published methods are required. While the thesis does not necessarily contain an extensive mathematical study of the new methods, it should contain strong plausibility arguments or simulations supporting the use of the new methods.

A good thesis is clear, readable, and well-motivated, justifying the applicability of the methods used rather than, for example, mechanically running regressions without discussing the assumptions (and whether they are plausible), performing diagnostics, and checking whether the conclusions make sense. 

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Mathematics and Statistics Theses and Dissertations

Theses/dissertations from 2024 2024.

The Effect of Fixed Time Delays on the Synchronization Phase Transition , Shaizat Bakhytzhan

On the Subelliptic and Subparabolic Infinity Laplacian in Grushin-Type Spaces , Zachary Forrest

Utilizing Machine Learning Techniques for Accurate Diagnosis of Breast Cancer and Comprehensive Statistical Analysis of Clinical Data , Myat Ei Ei Phyo

Quandle Rings, Idempotents and Cocycle Invariants of Knots , Dipali Swain

Comparative Analysis of Time Series Models on U.S. Stock and Exchange Rates: Bayesian Estimation of Time Series Error Term Model Versus Machine Learning Approaches , Young Keun Yang

Theses/Dissertations from 2023 2023

Statistical Analysis of Ribonucleotide Incorporation in Human Cells , Tejasvi Channagiri

Matrix Models of 2D Critical Phenomena , Nathan Hayford

Data-Driven Learning Algorithm Via Densely-Defined Multiplication Operators and Occupation Kernels. , John Kyei

Classification of Finite Topological Quandles and Shelves via Posets , Hitakshi Lahrani

Applied Analysis for Learning Architectures , Himanshu Singh

Rational Functions of Degree Five That Permute the Projective Line Over a Finite Field , Christopher Sze

Recovering generators of principal ideals using subfield structure and applications to cryptography , William Youmans

Theses/Dissertations from 2022 2022

Application of the Riemann-Hilbert method to soliton solutions of a nonlocal reverse-spacetime Sasa-Satsuma equation and a higher-order reverse-time NLS-type equation , Ahmed Ahmed

New Developments in Statistical Optimal Designs for Physical and Computer Experiments , Damola M. Akinlana

Advances and Applications of Optimal Polynomial Approximants , Raymond Centner

Data-Driven Analytical Predictive Modeling for Pancreatic Cancer, Financial & Social Systems , Aditya Chakraborty

On Simultaneous Similarity of d-tuples of Commuting Square Matrices , Corey Connelly

Methods in Discrete Mathematics to Study DNA Rearrangement Processes , Lina Fajardo Gómez

Symbolic Computation of Lump Solutions to a Combined (2+1)-dimensional Nonlinear Evolution Equation , Jingwei He

Adversarial and Data Poisoning Attacks against Deep Learning , Jing Lin

Exploring the Vulnerability of A Neural Tangent Generalization Attack (NTGA) - Generated Unlearnable CIFAR-10 Dataset , Gitte Ost

Statistical Methods for Reliability Test planning and Data Analysis , Oluwaseun Elizabeth Otunuga

Boundary behavior of analytic functions and Approximation Theory , Spyros Pasias

Effective Statistical and Machine Learning Methods to Analyze Children's Vocabulary Learning , Houston T. Sanders

Stability Analysis of Delay-Driven Coupled Cantilevers Using the Lambert W-Function , Daniel Siebel-Cortopassi

A Functional Optimization Approach to Stochastic Process Sampling , Ryan Matthew Thurman

Theses/Dissertations from 2021 2021

Riemann-Hilbert Problems for Nonlocal Reverse-Time Nonlinear Second-order and Fourth-order AKNS Systems of Multiple Components and Exact Soliton Solutions , Alle Adjiri

Zeros of Harmonic Polynomials and Related Applications , Azizah Alrajhi

Combination of Time Series Analysis and Sentiment Analysis for Stock Market Forecasting , Hsiao-Chuan Chou

Uncertainty Quantification in Deep and Statistical Learning with applications in Bio-Medical Image Analysis , K. Ruwani M. Fernando

Data-Driven Analytical Modeling of Multiple Myeloma Cancer, U.S. Crop Production and Monitoring Process , Lohuwa Mamudu

Long-time Asymptotics for mKdV Type Reduced Equations of the AKNS Hierarchy in Weighted L 2 Sobolev Spaces , Fudong Wang

Online and Adjusted Human Activities Recognition with Statistical Learning , Yanjia Zhang

Theses/Dissertations from 2020 2020

Bayesian Reliability Analysis of The Power Law Process and Statistical Modeling of Computer and Network Vulnerabilities with Cybersecurity Application , Freeh N. Alenezi

Discrete Models and Algorithms for Analyzing DNA Rearrangements , Jasper Braun

Bayesian Reliability Analysis for Optical Media Using Accelerated Degradation Test Data , Kun Bu

On the p(x)-Laplace equation in Carnot groups , Robert D. Freeman

Clustering methods for gene expression data of Oxytricha trifallax , Kyle Houfek

Gradient Boosting for Survival Analysis with Applications in Oncology , Nam Phuong Nguyen

Global and Stochastic Dynamics of Diffusive Hindmarsh-Rose Equations in Neurodynamics , Chi Phan

Restricted Isometric Projections for Differentiable Manifolds and Applications , Vasile Pop

On Some Problems on Polynomial Interpolation in Several Variables , Brian Jon Tuesink

Numerical Study of Gap Distributions in Determinantal Point Process on Low Dimensional Spheres: L -Ensemble of O ( n ) Model Type for n = 2 and n = 3 , Xiankui Yang

Non-Associative Algebraic Structures in Knot Theory , Emanuele Zappala

Theses/Dissertations from 2019 2019

Field Quantization for Radiative Decay of Plasmons in Finite and Infinite Geometries , Maryam Bagherian

Probabilistic Modeling of Democracy, Corruption, Hemophilia A and Prediabetes Data , A. K. M. Raquibul Bashar

Generalized Derivations of Ternary Lie Algebras and n-BiHom-Lie Algebras , Amine Ben Abdeljelil

Fractional Random Weighted Bootstrapping for Classification on Imbalanced Data with Ensemble Decision Tree Methods , Sean Charles Carter

Hierarchical Self-Assembly and Substitution Rules , Daniel Alejandro Cruz

Statistical Learning of Biomedical Non-Stationary Signals and Quality of Life Modeling , Mahdi Goudarzi

Probabilistic and Statistical Prediction Models for Alzheimer’s Disease and Statistical Analysis of Global Warming , Maryam Ibrahim Habadi

Essays on Time Series and Machine Learning Techniques for Risk Management , Michael Kotarinos

The Systems of Post and Post Algebras: A Demonstration of an Obvious Fact , Daviel Leyva

Reconstruction of Radar Images by Using Spherical Mean and Regular Radon Transforms , Ozan Pirbudak

Analyses of Unorthodox Overlapping Gene Segments in Oxytricha Trifallax , Shannon Stich

An Optimal Medium-Strength Regularity Algorithm for 3-uniform Hypergraphs , John Theado

Power Graphs of Quasigroups , DayVon L. Walker

Theses/Dissertations from 2018 2018

Groups Generated by Automata Arising from Transformations of the Boundaries of Rooted Trees , Elsayed Ahmed

Non-equilibrium Phase Transitions in Interacting Diffusions , Wael Al-Sawai

A Hybrid Dynamic Modeling of Time-to-event Processes and Applications , Emmanuel A. Appiah

Lump Solutions and Riemann-Hilbert Approach to Soliton Equations , Sumayah A. Batwa

Developing a Model to Predict Prevalence of Compulsive Behavior in Individuals with OCD , Lindsay D. Fields

Generalizations of Quandles and their cohomologies , Matthew J. Green

Hamiltonian structures and Riemann-Hilbert problems of integrable systems , Xiang Gu

Optimal Latin Hypercube Designs for Computer Experiments Based on Multiple Objectives , Ruizhe Hou

Human Activity Recognition Based on Transfer Learning , Jinyong Pang

Signal Detection of Adverse Drug Reaction using the Adverse Event Reporting System: Literature Review and Novel Methods , Minh H. Pham

Statistical Analysis and Modeling of Cyber Security and Health Sciences , Nawa Raj Pokhrel

Machine Learning Methods for Network Intrusion Detection and Intrusion Prevention Systems , Zheni Svetoslavova Stefanova

Orthogonal Polynomials With Respect to the Measure Supported Over the Whole Complex Plane , Meng Yang

Theses/Dissertations from 2017 2017

Modeling in Finance and Insurance With Levy-It'o Driven Dynamic Processes under Semi Markov-type Switching Regimes and Time Domains , Patrick Armand Assonken Tonfack

Prevalence of Typical Images in High School Geometry Textbooks , Megan N. Cannon

On Extending Hansel's Theorem to Hypergraphs , Gregory Sutton Churchill

Contributions to Quandle Theory: A Study of f-Quandles, Extensions, and Cohomology , Indu Rasika U. Churchill

Linear Extremal Problems in the Hardy Space H p for 0 p , Robert Christopher Connelly

Statistical Analysis and Modeling of Ovarian and Breast Cancer , Muditha V. Devamitta Perera

Statistical Analysis and Modeling of Stomach Cancer Data , Chao Gao

Structural Analysis of Poloidal and Toroidal Plasmons and Fields of Multilayer Nanorings , Kumar Vijay Garapati

Dynamics of Multicultural Social Networks , Kristina B. Hilton

Cybersecurity: Stochastic Analysis and Modelling of Vulnerabilities to Determine the Network Security and Attackers Behavior , Pubudu Kalpani Kaluarachchi

Generalized D-Kaup-Newell integrable systems and their integrable couplings and Darboux transformations , Morgan Ashley McAnally

Patterns in Words Related to DNA Rearrangements , Lukas Nabergall

Time Series Online Empirical Bayesian Kernel Density Segmentation: Applications in Real Time Activity Recognition Using Smartphone Accelerometer , Shuang Na

Schreier Graphs of Thompson's Group T , Allen Pennington

Cybersecurity: Probabilistic Behavior of Vulnerability and Life Cycle , Sasith Maduranga Rajasooriya

Bayesian Artificial Neural Networks in Health and Cybersecurity , Hansapani Sarasepa Rodrigo

Real-time Classification of Biomedical Signals, Parkinson’s Analytical Model , Abolfazl Saghafi

Lump, complexiton and algebro-geometric solutions to soliton equations , Yuan Zhou

Theses/Dissertations from 2016 2016

A Statistical Analysis of Hurricanes in the Atlantic Basin and Sinkholes in Florida , Joy Marie D'andrea

Statistical Analysis of a Risk Factor in Finance and Environmental Models for Belize , Sherlene Enriquez-Savery

Putnam's Inequality and Analytic Content in the Bergman Space , Matthew Fleeman

On the Number of Colors in Quandle Knot Colorings , Jeremy William Kerr

Statistical Modeling of Carbon Dioxide and Cluster Analysis of Time Dependent Information: Lag Target Time Series Clustering, Multi-Factor Time Series Clustering, and Multi-Level Time Series Clustering , Doo Young Kim

Some Results Concerning Permutation Polynomials over Finite Fields , Stephen Lappano

Hamiltonian Formulations and Symmetry Constraints of Soliton Hierarchies of (1+1)-Dimensional Nonlinear Evolution Equations , Solomon Manukure

Modeling and Survival Analysis of Breast Cancer: A Statistical, Artificial Neural Network, and Decision Tree Approach , Venkateswara Rao Mudunuru

Generalized Phase Retrieval: Isometries in Vector Spaces , Josiah Park

Leonard Systems and their Friends , Jonathan Spiewak

Resonant Solutions to (3+1)-dimensional Bilinear Differential Equations , Yue Sun

Statistical Analysis and Modeling Health Data: A Longitudinal Study , Bhikhari Prasad Tharu

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sample letter for statistician for thesis

The Acknowledgements Section

How to write the acknowledgements for your thesis or dissertation

By: Derek Jansen (MBA) | Reviewers: Dr Eunice Rautenbach | January 2024

Writing the acknowledgements section of your thesis might seem straightforward, but it’s more than just a list of names . In this post, we’ll unpack everything you need to know to write up a rock-solid acknowledgements section for your dissertation or thesis.

Overview: The Acknowledgements

  • What (exactly) is the acknowledgements section?

Who should you acknowledge?

  • How to write the section
  • Practical example
  • Free acknowledgements template
  • Key takeaways

What is the acknowledgements section?

The acknowledgements section of your thesis or dissertation is where you give thanks to the people who contributed to your project’s success. Generally speaking, this is a relatively brief, less formal section.  

With the acknowledgements section, you have the opportunity to show appreciation for the guidance, support, and resources provided by others during your research journey. We’ll unpack the exact contents, order and structure of this section in this post.

Need a helping hand?

sample letter for statistician for thesis

Although this is a less “academic” section, acknowledging the right people in the correct order is still important. Typically, you’ll start with the most formal (academic) support received, before moving on to other types of support.

Here’s a suggested order that you can follow when writing up your acknowledgements:

Level 1: Supervisors and academic staff

Start with those who have provided you with academic guidance, including your supervisor, advisors, and other faculty members.

Level 2: Funding bodies or sponsors

If your research was funded, acknowledging these organisations is essential. You don’t need to get into the specifics of the funding, but you should recognise the important role that this made in bringing your project to life.

Level 3: Colleagues and peers

Next you’ll want to mention those who contributed intellectually to your work, including your fellow cohort members and researchers.

Level 4: Family, friends and pets

Last but certainly not least, you should acknowledge your personal (non-academic) support system – those who have provided emotional and moral support. If Fido kept you company during those long nights hunched over the keyboard, you can also thank him here 🙂

As you can see, the order of the acknowledgements goes from the most academic to the least . Importantly, your thesis or dissertation supervisor (sometimes also called an advisor) generally comes first . This is because they are typically the person most involved in shaping your project (or at least, they should be). Plus, they’re oftentimes involved in marking your final work and so a kind word never hurts…

All that said, remember that your acknowledgements section is personal . So, feel free to adjust this order, but do pay close attention to any guidelines or rules provided by your university. If they specify a certain order or set of contents, follow their instructions to the letter.

sample letter for statistician for thesis

How to write the acknowledgements section

In terms of style, try to strike a balance between conveying a formal tone and a personal touch . In practical terms, this means that you should use plain, straightforward language (this isn’t the time for heavy academic jargon), but avoid using any slang, nicknames, etc.

As a guide, you’ll typically use some of the following phrases in the acknowledgements section:

I would like to express my appreciation to… for their help with… I’m particularly grateful to… as they provided… I could not have completed this project without… as this allowed me to… Special thanks to… who did… I had the pleasure of working with… who helped me… I’d also like to recognise… who assisted me with…

In terms of positioning, the acknowledgements section is typically in the preliminary matter , most commonly after the abstract and before the table of contents. In terms of length, this section usually spans one to three paragraphs , but there’s no strict word limit (unless your university’s brief states otherwise, of course).

If you’re unsure where to place your acknowledgements or what length to make this section, it’s a good idea to have a look at past dissertations and theses from your university and/or department to get a clearer view of what the norms are.

Aim to use plain, straightforward language with as little jargon as possible. At the same time, avoid using any slang or nicknames.

Practical Example

Alright, let’s look at an example to give you a better idea of what this section looks like in practice.

I would like to express my deepest gratitude to Professor Smith, whose expertise and knowledge were invaluable during this research. My sincere thanks also go to the University Research Fund for their financial support.   I am deeply thankful to my colleagues, John and Jane, for their insightful discussions and moral support. Lastly, I must acknowledge my family for their unwavering love and encouragement. Without your support, this project would not have been possible.

As you can see in this example, the section is short and to the point , working from formal support through to personal support. If you’re interested, you can explore a few more examples here .

To simplify the process, we’ve created a free template for the acknowledgements section. If you’re interested, you can download a copy here .

Free template

FAQs: Acknowledgements

Can i include some humour in my acknowledgements.

A touch of light humour is okay, but keep it appropriate and professional. Remember that this is still part of an academic document.

Can I acknowledge someone who provided informal or emotional support?

Yes, you can thank anyone who offered emotional support, motivation, or even informal advice that helped you during your studies. This can include friends, family members, or a mentor/coach who provided guidance outside of an academic setting.

Should I mention any challenges or difficulties I faced during my research?

While the acknowledgements section is primarily for expressing gratitude, briefly mentioning significant challenges you overcame can highlight the importance of the support you received. That said, you’ll want to keep the focus on the gratitude aspect and avoid delving too deeply into the challenges themselves.

Can I acknowledge the contribution of participants in my research?

Absolutely. If your research involved participants, especially in fields like social sciences or human studies, acknowledging their contribution is not only courteous but also an ethical practice. It shows respect for their participation and contribution to your research.

How do I acknowledge posthumous gratitude, for someone who passed away during my study period?

Acknowledging a deceased individual who played a significant role in your academic journey can be done respectfully. Mention them in the same way you would a living contributor, perhaps adding a note of remembrance.

For example, “I would like to posthumously acknowledge John McAnders for their invaluable advice and support in the early stages of this research.”.

Is there a limit to the number of people I can acknowledge?

How do i acknowledge a group or organisation.

When thanking a group or organization, mention the entity by name and, if applicable, include specific individuals within the organization who were particularly helpful.

For example, “I extend my thanks to The Speakers Foundation for their support, particularly Mr Joe Wilkins, for their guidance.”

Recap: Key Takeaways

Writing the acknowledgements section of your thesis or dissertation is an opportunity to express gratitude to everyone who helped you along the way.

Remember to:

  • Acknowledge those people who significantly contributed to your research journey
  • Order your thanks from formal support to personal support
  • Maintain a balance between formal and personal tones
  • Keep it concise

In a nutshell, use this section to reflect your appreciation in a genuinely and professionally way.

sample letter for statistician for thesis

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Statistician Cover Letter Sample

Boost your chances of getting hired & learn how to improve your own cover letter with our free, professionally written Statistician cover letter sample. Copy and paste this cover letter example free of charge or revise it in our sleek cover letter builder.

Milan Šaržík — Certified Professional Résumé Writer

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Statistician Cover Letter Sample (Full Text Version)

Yolanda Bravo

Dear Head of Human Resources,

I am writing to express my interest in the [Position Title] position at [Company Name]. With a Bachelor's degree in Mathematics & Statistics and 3 years of experience as a Statistician in consultancy and corporate environments, I am excited about the opportunity to contribute to your team.

Currently employed as a Statistician at UV Corporation, where I am involved in developing statistical procedures for dose reconstruction research, I have gained valuable experience in working with public and private sector clients, including pharmaceutical companies. My role involves creating methods to estimate uncertainty distributions for internal and external dose reconstructions on a facility-specific and time-dependent basis.

Prior to my current role, I worked as a Junior Statistician at Beltrix Pharmaceuticals, collaborating with a team of epidemiology and health outcomes researchers and clinicians. This experience has equipped me with strong analytical and research skills, which I believe will be valuable in the [Position Title] role at [Company Name].

I am proficient in a range of software programs, including RStudio, MS Office, OriginPro, and STATA, and am confident in my ability to adapt to new technologies and tools as needed. I am enthusiastic about the prospect of bringing my expertise to your team and contributing to the success of [Company Name].

I have attached my resume for your review and would welcome the opportunity to discuss how my skills and experiences align with the needs of your team. Thank you for considering my application. I look forward to the possibility of discussing next steps with you.

Milan Šaržík — Certified Professional Résumé Writer

Milan Šaržík, CPRW

Milan’s work-life has been centered around job search for the past three years. He is a Certified Professional Résumé Writer (CPRW™) as well as an active member of the Professional Association of Résumé Writers & Careers Coaches (PARWCC™). Milan holds a record for creating the most career document samples for our help center – until today, he has written more than 500 resumes and cover letters for positions across various industries. On top of that, Milan has completed studies at multiple well-known institutions, including Harvard University, University of Glasgow, and Frankfurt School of Finance and Management.

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Statistician Cover Letter Examples

A great statistician cover letter can help you stand out from the competition when applying for a job. Be sure to tailor your letter to the specific requirements listed in the job description, and highlight your most relevant or exceptional qualifications. The following statistician cover letter example can give you some ideas on how to write your own letter.

Statistician Cover Letter Example

or download as PDF

Cover Letter Example (Text)

Brianna Divin

(587) 218-3505

[email protected]

Dear Rhya Lighter,

I am writing to express my keen interest in the Statistician position at SAS Institute Inc., as advertised on your company's careers page. With a solid foundation in statistical analysis and a proven track record of success in my previous role at Nielsen Company, I am excited about the opportunity to contribute to your esteemed team and further my career within a prestigious organization such as yours.

Over the past five years, I have honed my skills in data collection, analysis, and interpretation, working on a variety of projects that have enabled me to develop a deep understanding of statistical methodologies and their practical applications in real-world scenarios. At Nielsen Company, I played a pivotal role in analyzing complex datasets to uncover actionable insights that drove strategic decision-making for our clients. My experience there taught me not only the technical aspects of the job but also the importance of clear communication, teamwork, and staying ahead of industry trends.

What excites me most about the opportunity at SAS Institute Inc. is the prospect of working alongside professionals who are at the forefront of statistical innovation. I am particularly drawn to your company's commitment to using analytics to solve complex problems and the chance to work with cutting-edge software and tools. I am confident that my experience with data analysis tools and programming languages, such as R and Python, coupled with my strong problem-solving abilities, will make me a valuable addition to your team.

I am eager to bring my strong analytical skills, attention to detail, and passion for data-driven decision-making to SAS Institute Inc., where I hope to contribute to your ongoing projects and the overall success of your organization. I am looking forward to the possibility of discussing how my background, skills, and enthusiasms align with the goals of your team.

Thank you for considering my application. I am looking forward to the opportunity to further discuss how I can contribute to the innovative work at SAS Institute Inc.

Warmest regards,

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  • Thesis & Dissertation Acknowledgements | Tips & Examples

Thesis & Dissertation Acknowledgements | Tips & Examples

Published on May 3, 2022 by Tegan George . Revised on July 18, 2023.

Acknowledgements-section

The acknowledgements section is your opportunity to thank those who have helped and supported you personally and professionally during your thesis or dissertation process.

Thesis or dissertation acknowledgements appear between your title page and abstract  and should be no longer than one page.

In your acknowledgements, it’s okay to use a more informal style than is usually permitted in academic writing , as well as first-person pronouns . Acknowledgements are not considered part of the academic work itself, but rather your chance to write something more personal.

To get started, download our step-by-step template in the format of your choice below. We’ve also included sample sentence starters to help you construct your acknowledgments section from scratch.

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Table of contents

Who to thank in your acknowledgements, how to write acknowledgements, acknowledgements section example, acknowledgements dos and don’ts, other interesting articles, frequently asked questions about the acknowledgements section.

Generally, there are two main categories of acknowledgements: professional and personal .

A good first step is to check your university’s guidelines, as they may have rules or preferences about the order, phrasing, or layout of acknowledgements. Some institutions prefer that you keep your acknowledgements strictly professional.

Regardless, it’s usually a good idea to place professional acknowledgements first, followed by any personal ones. You can then proceed by ranking who you’d like to thank from most formal to least.

  • Chairs, supervisors, or defense committees
  • Funding bodies
  • Other academics (e.g., colleagues or cohort members)
  • Editors or proofreaders
  • Librarians, research/laboratory assistants, or study participants
  • Family, friends, or pets

Typically, it’s only necessary to mention people who directly supported you during your thesis or dissertation. However, if you feel that someone like a high school physics teacher was a great inspiration on the path to your current research, feel free to include them as well.

Professional acknowledgements

It is crucial to avoid overlooking anyone who helped you professionally as you completed your thesis or dissertation. As a rule of thumb, anyone who directly contributed to your research process, from figuring out your dissertation topic to your final proofread, should be mentioned.

A few things to keep in mind include:

  • Even if you feel your chair didn’t help you very much, you should still thank them first to avoid looking like you’re snubbing them.
  • Be sure to follow academic conventions, using full names with titles where appropriate.
  • If several members of a group or organization assisted you, mention the collective name only.
  • Remember the ethical considerations around anonymized data. If you wish to protect someone’s privacy, use only their first name or a generic identifier (such as “the interviewees”)/

Personal acknowledgements

There is no need to mention every member of your family or friend group. However, if someone was particularly inspiring or supportive, you may wish to mention them specifically. Many people choose to thank parents, partners, children, friends, and even pets, but you can mention anyone who offered moral support or encouragement, or helped you in a tangible or intangible way.

Some students may wish to dedicate their dissertation to a deceased influential person in their personal life. In this case, it’s okay to mention them first, before any professional acknowledgements.

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After you’ve compiled a list of who you’d like to thank, you can then sort your list into rank order. Separate everyone you listed into “major thanks,” “big thanks,” and “minor thanks” categories.

  • “Major thanks” are given to people who your project would be impossible without. These are often predominantly professional acknowledgements, such as your advisor, chair, and committee, as well as any funders.
  • “Big thanks” are an in-between, for those who helped you along the way or helped you grow intellectually, such as classmates, peers, or librarians.
  • “Minor thanks” can be a catch-all for everyone else, especially those who offered moral support or encouragement. This can include personal acknowledgements, such as parents, partners, children, friends, or even pets.

How to phrase your acknowledgements

To avoid acknowledgements that sound repetitive or dull, consider changing up your phrasing. Here are some examples of common sentence starters you can use for each category.

Common sentence starters
Major thanks Big thanks Minor thanks

Note that you do not need to write any sort of conclusion or summary at the end. You can simply end the acknowledgements with your last thank you.

Here’s an example of how you can combine the different sentences to write your acknowledgements.

A simple construction consists of a sentence starter (in purple highlight ), followed by the person or entity mentioned (in green highlight ), followed by what you’re thanking them for (in yellow highlight .)

Acknowledgements

Words cannot express my gratitude to my professor and chair of my committee for her invaluable patience and feedback. I also could not have undertaken this journey without my defense committee, who generously provided knowledge and expertise. Additionally, this endeavor would not have been possible without the generous support from the MacArthur Foundation, who financed my research .

I am also grateful to my classmates and cohort members, especially my office mates, for their editing help, late-night feedback sessions, and moral support. Thanks should also go to the librarians, research assistants, and study participants from the university, who impacted and inspired me.

Lastly, I would be remiss in not mentioning my family, especially my parents, spouse, and children. Their belief in me has kept my spirits and motivation high during this process. I would also like to thank my cat for all the entertainment and emotional support.

  • Write in first-person, professional language
  • Thank your professional contacts first
  • Include full names, titles, and roles of professional acknowledgements
  • Include personal or intangible supporters, like friends, family, or even pets
  • Mention funding bodies and what they funded
  • Appropriately anonymize or group research participants or non-individual acknowledgments

Don’t:

  • Use informal language or slang
  • Go over one page in length
  • Mention people who had only a peripheral or minor impact on your work

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In the acknowledgements of your thesis or dissertation, you should first thank those who helped you academically or professionally, such as your supervisor, funders, and other academics.

Then you can include personal thanks to friends, family members, or anyone else who supported you during the process.

Yes, it’s important to thank your supervisor(s) in the acknowledgements section of your thesis or dissertation .

Even if you feel your supervisor did not contribute greatly to the final product, you must acknowledge them, if only for a very brief thank you. If you do not include your supervisor, it may be seen as a snub.

The acknowledgements are generally included at the very beginning of your thesis , directly after the title page and before the abstract .

In a thesis or dissertation, the acknowledgements should usually be no longer than one page. There is no minimum length.

You may acknowledge God in your dissertation acknowledgements , but be sure to follow academic convention by also thanking the members of academia, as well as family, colleagues, and friends who helped you.

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Statistician Cover Letter Example

There are plenty of opportunities to get into a Statistician role, but it is not simple to get one, without an outstanding cover letter. Use our well-created and professional Statistician Cover Letter Sample that can catch the attention of the hiring employer and help you stand out from your competitors. Need something super quick? Make use of our easy-to-use builder to do the work for you.

Statisticians play a crucial role in research and academia. Due to the proliferation of data generation and collection across industries, there has been a spike in demand for Statisticians in business, and almost all organizations require the help of these professionals for data gathering and research work.

Statistician Cover Letter example

  • Cover Letters

What to Include in a Statistician Cover Letter?

Roles and responsibilities.

  • Assisting in decision making.
  • Identifying trends and relationships in data.
  • Designing processes for data collection.
  • Collecting, analyzing, and interpreting data .
  • Advising organizational and business strategy.
  • Reporting results of statistical analysis in the form of graphs, charts, and tables.

Education & Skills

Statistician skills:.

  • Extensive experience in performing statistical analyses.
  • Proficiency in statistical software programs.
  • Advanced knowledge of statistical methods.
  • The ability to interpret data and analyze trends.

Statistician Education Requirements:

  • Bachelor’s degree in statistics.
  • Master’s degree in Statistics, data science, mathematics, or equivalent master’s degree program with a focus on statistical methods.
  • Qualification in Mathematics.

Statistician Cover Letter Example (Text Version)

Dear Hiring Manager,

I am submitting this letter to express my interest in the post of Statistician that is being offered by XXX Solutions Groups. I strongly believe that I can offer the skills and experience needed to fill this designation and be an asset to your company. I have obtained special training in this specific field, apart from earning my Master’s degree in Statistics/ biostatistics from Oxford State University. Not just that, I am also currently working on my Ph.D., which will surely qualify me as an excellent candidate to fill this role.

Besides, I am also working as a senior Statistician Consultant for a $$$ Research company that provides advisory and consulting services to public and private sector clients, and am providing them my support in the following areas –

  • Developing analytic programming.
  • Summarizing and recording all studies.
  • Collaborating with project teams.
  • Anticipating data and informational needs.

I possess exemplary skills in Mathematics, have general knowledge in management, economics, and business. In addition to my academic credentials, I also have gained familiarity with all required programs, MS Office, Original Pro, and STATA.

I am confident that I can meet and exceed your considerations if considered for this role. Thank you for your consideration. Please contact me ( ) to make arrangements for an interview where we can discuss this position and the qualification needed in more detail. I look forward to hearing from you.

Sincerely, [Your Name]

As a Statistics Professional, you would know how much important it is to create that first impression, allow us to give that impression. Use our Statistician Cover Letter and get a chance to impress your hiring employer! Want some help in writing a Resume? Utilize our Statistician Resume Sample to highlight your marketable traits!

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Related Papers

Joenel Demegillo

This descriptive research study was conducted to determine the relationship of reading comprehension and mathematics performance of the 302 pupils at Anecito Panolino Elementary School of Division of Passi City for the school year 2014-2015. The Phil-IRI test, the profile questionnaire and first periodical grade of pupils in Mathematics were used as the data gathering tool. The statistical tools used were frequencies, means, standard deviation, t-test, one-way Analysis of Variance, and Pearson Product Moment Coefficient of Correlation. Acceptance or rejection of the null hypotheses was based on the.05 alpha level. The pupils of Anecito Panolino Elementary School were males and were in ages six to ten years old. They belong to a family that is earning below the poverty line and were enrolled in Grade V. They have a weak reading comprehension as to speed level, reading level, and comprehension level despite of gender, age, grade level and family income. In gender and family income there is almost a significant difference however in age and grade level it showed almost no significance on reading comprehension. Regardless of groupings, mathematics performance of the pupils was an “unsatisfactory” rating. Significant difference in mathematics performance of the pupils was found on gender however, there is none with respect to age, family income and grade level. The positive correlation between the pupils speed level, reading level, comprehension level and mathematics performance was determined in the study.

sample letter for statistician for thesis

marlone manicdao

Jacqueline Fragata

Gilberto Llanto

J.R. Robert Real

Anthony Anghie J R Robert G Real Principal Investigators

Department of History, National University of Singapore

Tse Siang Lim

Over two centuries have passed since the revelation of the existence of an ancient settlement in Singapore, but knowledge of this pre-colonial polity has not advanced much with time. Despite the archaeological recovery of material cultural remains of this settlement in recent years, historical discourse on the subject remains largely confined to either the epistemological significance of this settlement in the colonial and post-colonial histories of the Malay-speaking people in the Malay Archipelago, or the general importance of this landmark within the context of maritime trade in Southeast Asia. More often than not, artefacts are used only to highlight these narratives but are themselves seldom addressed. This thesis is hence dedicated to the study of these artefacts as primary sources of 14th century Singapore. It seeks to address a fundamental question which underlies all narratives of the settlement but has hitherto been inadequately addressed by conjunctures and hypotheses: How complex was this pre-colonial Singapore society? In doing so, this thesis will first address the historiographical issues underlying this question by reviewing existing literature and primary sources concerning this pre-colonial entity. Deductions from the analysis of material cultural remains sampled from the archaeological site at the churchyard of the Saint Andrew’s Cathedral (STA) will next be made. Finally, statistically-measured variations in their site distribution will reflect the nature of the settlement’s spatial organization from which the degree of social complexity in pre-colonial Singapore can eventually be discerned.

The fourth year Tourism students differ in the way they learn regarding their learning styles. The researcher has found out that more of the learners prefer multiple learning styles in learning a language. Moreover, their Spanish teacher used varieties of methods in transferring the information to them. In the level of performance, the kinesthetic learner and the multi-learner have a good performance. Therefore, the learning styles of the students do affect their academic achievement.

Joebert Galang

Ashley T Wu

Hand hygiene is the single most important measure to prevent transmission of infection, but the compliance rate of healthcare workers is relatively low. (Jeong and Kim, 2016) The purpose of this research is to spread awareness in terms of low compliance rate from Second Level to Fourth Level Nursing students. Also, the study aims to provide applicable knowledge when it comes to correct and proper ways of washing one’s hands. The research used the mixed method approach that involves collecting, analyzing and integrating quantitative (survey) and qualitative (focus groups) research. In addition to that, an adapted research-based questionnaire in a study orchestrated by Sharon Dersch entitled “Hand hygiene in undergraduate nursing education in Alberta” which used Likert scale (strongly agree, agree, disagree and strongly disagree) with specific point system including several declarative statements that signifies a participant’s level of agreement. Furthermore, through the use of Slovin’s Formula a total of 48.57% of Nursing students was considered as respondents. In conclusion, the weighted mean from the adapted research-based questionnaire is 2.44 which translates that 48.57% of the Nursing students at Chinese General Hospital Colleges has poor compliance rate with regards to proper hand washing.

Rufa C Guiam

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