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Connie Smith has an interest in several human resource issues her Fast senior management has
mentioned. She wants you to answer the following seven questions using good statistical methods.
The data in the M4A1 Fast Employee Data file was developed from a large, random sampling of Fast
Employees worldwide. It does not represent a census of all Fast Employees.
Answer the each of the seven questions using appropriate hypothesis tests. Remember, because you
have sample data, not the entire population of all Fast Employees, you cannot just find and compare
averages. You must run the appropriate hypothesis test for each question.
For each question, complete and document in your Excel workbook the following 10 steps of the
hypothesis test process on each question’s worksheet so they are easily found and understood:
1. State the null and alternative hypotheses in words.
2. State the null and alternative hypotheses using math symbols.
3. Identify whether the null or the alternative is the claim.
4. Identify the appropriate hypothesis test to run.
5. Identify the tail of the test.
6. Decide on the significance level alpha, a, to use and explain why you chose that significance level. i.e
—–what are the consequences of a wrong decision [making a Type I or Type II error]
7. Manipulate the data so you have just the records you need for the test (this may be done with Pivot
Tables or using other Excel techniques)
8. Conduct the test using Excel functions, copies of the provided calculators, and /or the Data Analysis
—–ToolPak. Put the Excel calculations you use, including your data, on a worksheet behind the – ——–
9. State your decision and the reason for your decision (p-value method).
10. Draw and state a well-formed conclusion.