The difference between a test comparing two means and a test comparing the frequency of two outcomes is
A) the test statistics that they employ and their calculation.
B) the logic behind the two different hypothesis testing procedures.
C) the way we go about drawing conclusions from the tests.
D) all of the above

Question

Quizplus · Accepted Answer

A test comparing two means uses a t-test or z-test as the test statistic to determine if the means of two samples are significantly different from each other. On the other hand, a test comparing the frequency of two outcomes uses a chi-square test as the test statistic to determine if the observed frequencies of two categories are significant or not. The calculation and interpretation of the test statistics differ in these two types of tests. The logic behind the hypothesis testing procedure also differs as the null and alternative hypotheses are framed differently for the two types of tests. Therefore, the correct answer is A.

The Difference Between a Test Comparing Two Means and a Test