Create and Analyze a Self-designed Fictitious Study

Managers compared to those who do not; Or, whether ones political affiliation is related to gender. These are just a few examples; be creative and think about what piques your interest. You might also address a problem that you may want to look at in future research for a dissertation.

Your analysis report should include the following components:

1. Describe your research study.
2. State a hypothesis.
3. List and explain the variables you would collect in this study. There must be a minimum of three variables and two must meet the assumptions for a correlational analysis.
4. Create a fictitious data set that you will analyze. The data should have a minimum of 30 cases, but not more than 50 cases.
5. Conduct a descriptive data analysis that includes the following:
   1. a measure of central tendency
   2. a measure of dispersion
   3. at least one graph
6. Briefly interpret the descriptive data analysis.
7. Conduct the appropriate statistical test that will answer your hypothesis. It must be a statistical test covered in this course such as regression analysis, single t-test, independent t-test, cross-tabulations, Chi-square, or One-Way ANOVA. Explain your justification for using the test based on the type of data and the level of measurement that the data lends to for the statistical analysis.
8. Report and interpret your findings. Use APA style and include a statement about whether you reject or fail to reject the null hypothesis.
9. Copy and paste your data output and place it in an appendix.

Remember, the goal of this project is to show what you have learned in the course. Therefore, this project becomes a cumulative learning project where you can demonstrate what you have learned through all the previous assignments, readings and video presentations that you have watched.

Length: 12-15 pages not including title and reference pages

References: Minimum of 5 scholarly resources.