Hypothesis testing is a procedure for evaluating the strength of a hypothesis. The methodology depends on the data and the reason for the analysis.

Hypothesis Testing 4--Chi-Square for Goodness of Fit Tests and Independence In Hypothesis Testing 1, 2 and 3, you have used normal and t-distributions to test hypotheses. Chi-Square tests use the ...

Hypothesis testing problems in which the null hypothesis is simple, the parameter space is finite dimensional and the supports of the probability measures are independent of the parameter are ...

Explore what a one-tailed test is in statistics, learn how it works, its application in finance, and understand its significance with a real-world example.

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 in business examples might include a restaurant owner interested in how adding additional house sauce to their chicken sandwich impacts customer satisfaction.

In this article, we consider an experimental design commonly used by researchers who study plant disease and examine large-sample, likelihood-based hypothesis tests that can be used to characterize ...

Whether the alternative hypothesis is designed to test for a subtle or strong effect depends entirely on the theory and problem under investigation.