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you will undertake an analysis based on a self-designed fictitious study that use 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 for a thesis or dissertation. You will use either EXCEL or SPSS to conduct the analysis. Your analysis report should:

  • Describe your research study.
  • State a hypothesis.
  • 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.
  • Create a fictitious data set that you will analyze. The data should have a minimum of 30 cases, but not more than 50 cases.
  • Conduct a descriptive data analysis that includes the following: 
  • a measure of central tendency
  • a measure of dispersion
  • at least one graph
  • Briefly interpret the descriptive data analysis.
  • 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.
  • Report and interpret your findings. Use APA style and include a statement about whether you reject or fail to reject the null hypothesis.
  • Copy and paste your Excel or SPSS data output and place it in an appendix.
    • 9 years ago
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