Undertake an analysis based on a self-designed fictitious study that utilizes statistical methodologies. You will first develop a fictitious problem to examine - it can be anything. For example, maybe you want to look at whether scores on a standardized college placement test (like the SAT) are related to the level of income a person makes 10 years after college; Or, whether those who participate in a Leadership Training program rated as better 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. You will use either EXCEL or SPSS to conduct the analysis.

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:
a.a measure of central tendency
b.a measure of dispersion
c.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 Excel or SPSS data output and place it in an appendix.