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 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.

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 ...

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

We illustrate our testing procedures using two real data examples and provide recommendations for plant-disease researchers in the field. Published quarterly since 1996, the Journal of Agricultural, ...

In this article, we review the function of post-hoc tests in statistical analysis, how to interpret them and when to use them (and not use them).

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 ...