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.

Key Points The Wilcoxon Rank Sum Test is a non-parametric means of comparing data between two sets. It operates as a useful ...

Hypothesis testing relies exclusively on data and doesn’t provide a comprehensive understanding of the subject being studied. Additionally, the accuracy of the results depends on the quality of ...

Key Points Hypothesis testing provides organizations with a structured approach to evaluate assumptions using data, reducing ...

Student’s t-tests are further broken down into two categories: ... business, and psychology. This article will explain when it is appropriate to use a paired t-test versus an unpaired t-test, as well ...

A t-test is used as a hypothesis testing tool, which allows testing of an assumption applicable to a population. Z-tests are closely related to t-tests, ...

A t-test for a population mean tests the population mean against a hypothesized value. It is appropriate when the population standard deviation is unknown and the sample size is small. This applet ...

In this module, we will learn about the chi-squared and t distributions and their relationships to sampling distributions. We will learn to identify when hypothesis tests based on these distributions ...

Standard 21.4: Understands and applies basic principles of hypothesis testing and scientific inquiry Presents alternative explanations and conclusions to one's own experiments and those of others.

Standard 21.4: Understands and applies basic principles of hypothesis testing and scientific inquiry Presents alternative explanations and conclusions to one's own experiments and those of others.