Explain when to use a t-test and when to use a z-test. Explore the differences.

Using AIU’s survey responses from the AIU data set, complete the following requirements in the form of a 2-page report:
TEST 1
Perform the following two-tailed hypothesis test, using a .05 significance level:
•Intrinsic by Gender
•State the null and an alternate statement for the test
•Use Microsoft Excel (Data Analysis Tools) to process your data and run the appropriate test. Copy and paste the results of the output to your report in Microsoft Word.
•Identify the significance level, the test statistic, and the critical value.
•State whether you are rejecting or failing to reject the null hypothesis statement.
•Explain how the results could be used by the manager of the company.
TEST 2
Perform the following two-tailed hypothesis test, using a .05 significance level:
•Extrinsic variable by Position Type
•State the null and an alternate statement for the test
•Use Microsoft Excel (Data Analysis Tools) to process your data and run the appropriate test.
•Copy and paste the results of the output to your report in Microsoft Word.
•Identify the significance level, the test statistic, and the critical value.
•State whether you are rejecting or failing to reject the null hypothesis statement.
•Explain how the results could be used by the manager of the company
In a separate sentence, specifically identify the significance level (alpha), the test statistics and the critical value.
State your decision
State whether you are rejecting or failing to reject the null hypothesis statement. Explanation of decision made
Comment on why you are making your decision in terms of how the test statistic compares to the critical value or in terms of how the p value compares to the alpha. Applications for managers
Discuss how the manager of the company could use this information specifically. Why is this information valuable?
Hypothesis
Z and T Tests
Explain the difference between the Z and T test and when each one is used.
Samples and Populations
Explain the difference between a sample and the population. Why are samples used for hypothesis tests?
 
ORDER THIS ESSAY HERE NOW AND GET A DISCOUNT !!!