Writing & Testing Hypotheses
Is job satisfaction in our industry the same for both genders? We will look at Job Satisfaction and Gender for this analysis. First, we write out the hypotheses:
(Null Hypothesis) H0: μ1 – μ2 = 0
(Alternate Hypothesis) H1: μ1 – μ2 ≠ 0
H0: Males rate job satisfaction the same as females.
H1: Males rate job satisfaction differently than females.
You decide to test this at the α = 0.05 level, using a t-Test: Two-Sample Assuming Unequal Variances. Run this test in Excel and interpret the results.
p-VALUE approach (use the wording to reject or fail to reject the Null hypothesis)
Given that the p value (xx) is greater than the alpha (.05), the Null hypothesis cannot be rejected, therefore there is no support for the Alternate Hypothesis that (paste Alternate Hypothesis)
Given that the p value (xx) is less than the alpha (.05), the Null hypothesis is rejected, therefore there is support for the Alternate Hypothesis that (paste Alternate Hypothesis here)
- Discuss implications for management. Research and find out if there are studies that make connections between the variables you tested.
- Make industry connections with the research from IBISWorld. Include workplace applications that may be implemented based on the findings.
Repeat the same testing for:
- Intrinsic Job Satisfaction
- Extrinsic Job Satisfaction
- Organizational Commitment
No quotations are permitted in this paper. Since you are engaging in research, be sure to cite and reference the sources in APA format. NOTE: failure to use research with accompanying citations to support content will result in reduced scoring “Level 2-Developing” across the grading rubric.
NOTE: The template for this assignment is attached
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