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Hypothesis testing for job satisfaction: Gender and Position type

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Use the attached files.

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

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.
GENERAL ANALYSIS (Research Required)

Explain when to use a t-test and when to use a z-test. Explore the differences.
Discuss why samples are used instead of populations.

SEE the attached Templete Data sheet and the data tool pack if you don't have in your excel.

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Solution Summary

Hypothesis testing for job satisfaction of a gender and position type are examined.

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Calculation of F test from ANOVA

Article about UK Supermarket Employees: The hypothesis is whether or not Age, Work Experience, or Gender has more of an effect on job satisfaction. We have to come up with a null hypothesis and alternate hypothesis and do an ANOVA test to determine.

The following are needed:

Null Hypothesis
Alternative Hypothesis
Significance Level
2 Degrees of Freedom Values
Critical F Value

Use .05 in type I error

ATTACHED PDF ARTICLE.

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