During his Ph.D. research, mathematician Tyron Lardy worked on a new approach to hypothesis testing. Instead of the ...

Hypothesis testing begins when a researcher observes a pattern in a set of data. The test determines whether the pattern can be explained by coincidence or other variables. The methodology used ...

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.

T-tests are used when the data sets follow a normal distribution and have unknown variances, like the data set recorded from flipping a coin 100 times. The t-test assists in hypothesis testing in ...

Hypothesis testing is a formal procedure for investigating our ideas about the world using statistics. It is most often used by researchers to test predictions, called hypotheses. The first step in ...

Define a test statistic, level of significance, and the rejection region for a hypothesis test. Give the form of a rejection region. Perform tests concerning a true population variance. Compute the ...

Have students provide the following information in their analysis report: did the test support or disprove their hypothesis; if correct, is there any additional evidence they can determine to ...

The answer may be what some are calling "winter break hypothesis." While unproven ... As of this writing, others are busy running tests, and the results are inconclusive. This episode is a ...

The word Null in the context of hypothesis testing means “nothing” or “zero.” As an example, if we wanted to test whether there was a difference in two population means based on the ...

Invoke PROC GLM and specify all the estimable functions options to examine what the GLM procedure can test. The following statements are followed by the summary ANOVA table. See Figure 30.8. data ...