Hypothesis Testing 2--Testing for Population Means 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 ...

Hypothesis testing allows for testing an idea regarding a parameter of interest in a particular population set, using information that has been measured in a sample set.

A t-test is an inferential statistic used in hypothesis testing to determine if there is a statistically significant difference between the means of two samples.

The null hypothesis in this test is that the variances are equal. Thus, the small p -value (2.2e-16)—the probability that the null hypothesis is true—suggest they are unequal.

Sample surveys often have complex sample designs with multistage cluster sampling, stratification, and differential selection probabilities. This article is concerned with testing the null hypothesis ...