Use the six-step hypothesis testing process (noted below) to run and interpret a correlation analysis using SPSS.
A manager is interested in better understanding job satisfaction by studying the associations between a number of variables. These variables are age, years of experience, level of education, employee engagement, job satisfaction, and job performance levels.
Part 1
She thinks there is a relationship between job satisfaction and
- years of experience
- educational level
- employee engagement
- job performance
- State the null and alternative hypotheses.
- Identify critical values for the test statistics and state the decision rule concerning when to reject or fail to reject the null hypothesis of no relationship.
- Run the Pearson correlation analysis and include the correlation matrix in your assignment response.
- Report and interpret the correlation coefficient and p-value for each variable paired with job satisfaction.
- Explain what decisions the manager might make using these findings.
Part 2
She thinks that younger employees will perform at a higher level, on average.
- State the null and alternative hypotheses sets.
- Select the significance level.
- Select the test statistics and calculate its value.
- Identify critical values for the test statistics and state the decision rule concerning when to reject or fail to reject the null hypothesis.
- Compare the calculated and critical values to reach a conclusion for the null hypothesis.
- Explain what decisions the manager might make using these findings.
Length: 4 to 6 pages not including title and reference page
References: Include a minimum of 3 scholarly resources
