The (modest) goal of hypothesis testing is to reduce the directly-relevant data to a “level of suspicion” based purely on the data. That level of suspicion can then be combined (outside of hypothesis ...

Today our goal is to cover hypothesis testing and the basic z-test, as these are fundamental to understanding how the t-test works. We’ll return to the t-test soon — with real data.

The chi-squared test, often written as χ2 test, is a statistical hypothesis test used in the analysis of categorical variables to determine whether observed data are different from expectations. In ...

The t-test assists in hypothesis testing in statistics and uses the t-statistic, the t-distribution values, and the degrees of freedom to determine statistical significance.

Fisher’s exact test is a statistical hypothesis test used to assess the association between two binary variables in a contingency table and is particularly useful when working with small sized samples ...

Hypothesis testing is a formal procedure for investigating our ideas about the world using statistics. It is most often used by researchers to test predictions, called hypotheses. The first step in ...

Null Hypothesis Testing Statistical significance is used in null hypothesis testing, in which researchers attempt to support their theories by rejecting other explanations.

Despite their wide use in scientific journals such as The Journal of Wildlife Management, statistical hypothesis tests add very little value to the products of research. Indeed, they frequently ...

PresenterBrad VerhulstDate first presentedJune 2022 Virtual WorkshopContentBasic concepts in hypothesis testing, including effect sizes, type I and type II errors, calculation of statistical power, ...