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.

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 ...

In Hypothesis Testing 1, you were introduced to the ideas of hypothesis testing in the context of deciding whether a coin was fair or biased in favor of heads. In this section hypothesis testing ...

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 ...

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 ...

This short course is designed to provide an overview of these approaches. Concepts and caveats underlying hypothesis testing will be reviewed. The t-test portion will include one-sample, two-sample, ...

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.

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 ...

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.