Question
Class, there are several different tests explained in this week's readings. At first it might seem confusing which one of all the tests should be
Class, there are several different tests explained in this week's readings. At first it might seem confusing which one of all the tests should be selected to solve a problem. The selection of test statistic depends on the following factors:
- what parameter are we evaluating (mean, standard deviation, proportion, ...)
- type of data (qualitative or quantitative)
- size of sample (N < 30, or N > 30)
For instance, if we're comparing the mean against a hypothesized value, the test statistic would be a z-test when the sample size is greater than 30, or a t-test if the sample size is less than 30.
Similarly, if we're comparing a proportion against a hypothesized value, the test statistic is always a z-test.
Class, this week's readings also cover the ANOVA test. What is an ANOVA test and when do we use it?
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