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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

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Solution Summary

The solution provides step by step method for the calculation of F test from ANOVA. Formula for the calculation and Interpretations of the results are also included.

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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

Data from article:
Data Collection
The data were collected through the use of structured questionnaire personally handed to 1000 employees at their various stores in July 2003. Only 250 questionnaires were distributed in each store. Structured response questions and Likert rating scales constituted the main enquiry format. The questionnaire was highly structured to aid data collection and analysis. Each of the questionnaires was measured from a range representing '1' extremely dissatisfied to '7' ...

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