COMMENTS

  1. Null Hypothesis: Definition, Rejecting & Examples

    The null hypothesis in statistics states that there is no difference between groups or no relationship between variables. It is one of two mutually exclusive hypotheses about a populationin a hyp…

  2. What Is The Null Hypothesis & When To Reject It

    The null hypothesis is the statement that a researcher or an investigator wants to disprove. Testing the null hypothesis can tell you whether your results are due to the effects of manipulating the dependent variable or …

  3. Null hypothesis

    In scientific research, the null hypothesis (often denoted H0) is the claim that the effect being studied does not exist. The null hypothesis can also be described as the hypothesis in which no relationship exists between two sets of data or variables being analyzed. If the null hypothesis is true, any experimentally observed effect is due to chance alone, hence the term "null". In contrast with the null hypothesis, an alternative hypothesis is developed, which claims that a relationship d…

  4. Null & Alternative Hypotheses

    The null and alternative hypotheses are two competing claims that researchers weigh evidence for and against using a statistical test: Null hypothesis (H0): There’s no effect …

  5. When Do You Reject the Null Hypothesis? (3 Examples) …

    In other words, if the p-value is low enough then we must reject the null hypothesis. The following examples show when to reject (or fail to reject) the null hypothesis for the most common types of hypothesis tests.

  6. Understanding P-Values and Statistical Significance

    A p-value, or probability value, is a number describing how likely it is that your data would have occurred by random chance (i.e., that the null hypothesis is true). The level of statistical significance is often expressed as a …