# Testing One Variable's Data

Perform hypothesis testing on one variable's data. (Choose either the intrinsic or extrinsic column.) Perform a t-test by formulating a null and an alternative statement, choosing an acceptable significance value, determining the appropriate critical value, selecting the test statistic and determining its value from the sample data, comparing the observed value to the critical value obtained and determining whether to reject or fail to reject the null hypothesis.

In a separate paragraph, provide some information on when to use a t-test and when to use a z-test and why. Also, provide some information about why samples are used instead of populations.

Please see the attached Excel sheets for the necessary data.

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#### Solution Preview

Note: Please use DataSetandDataSetKey_0901A.xls - with the focus on intrinsic Thank You

Using AIU's large database of survey responses from the AIU data set, complete the following:

Perform hypothesis testing on one variable's data. (Choose either the intrinsic or extrinsic column.) Perform a t-test by formulating a null and an alternative statement, choosing an acceptable significance value, determining the appropriate critical value, selecting the test statistic and determining its value from the sample data, comparing the observed value to the critical value obtained and determining whether to reject or fail to ...

#### Solution Summary

This solution performs a hypothesis test on one variable's data and determines whether a null hypothesis should be rejected or not. The importance of a t-test and a z-test is also explained.