For this assignment, you will use the same dataset that you used for your Week 2 assignment (LeadershipData.csv).  You will expand your analysis from the prior assignment to include all three domain variables as dependent variables.  However, you will not include the covariate and you will select only one independent variable with more than two levels (e.g. Country, Age, Education, CollarColor).  Example code can be found in the Week 3 course resources.  For this assignment, you will address the following assignment components:

1. Generate one or more hypotheses to be tested. State the null and alternative hypotheses.
2. Provide a brief overview of any missing data, outliers or anomalies and how those cases were handled.  This can be a copy and paste from the initial assignment as appropriate.
3. Address all relevant statistical assumptions and provide a written summary of the findings, including methods for resolving any violations.
4. Run the one-way MANOVA using your statistical software of choice.
5. Conduct the most appropriate post-hoc analysis.
6. Provide a summary of the overall findings
   1. Data issues and how they were resolved
   2. Descriptive summary of the data
   3. Results of statistical assumption tests
   4. One-way MANOVA results and decided to retain or reject the null hypothesis
   5. Limitations of the analysis and results

Length: 5-7 pages, not including references.

References: Include a minimum of 5 scholarly resources.