For the FINAL PROJECT, you must do the following:

1. Independent Samples t-test
   - Choose any scale variable and any nominal variable with two levels from the RENAL.sav file (e.g., GENDER, DIABETES, ALIVE, BYPASS, etc.).
   Write out the assumptions for the Independent Samples t-test and evaluate that the variables are appropriate for the test (if not, you must select another set of variables).
   State the hypothesis to be tested.
   - Test for the equality of variances before proceeding.
   - Conduct an Independent Samples t-test on the scale variable with the nominal variable as a grouping variable.
   - State the reject / not reject decision and conclusion.
   - State any insights (in English) you can draw from the results; if you reject the null, your insights should follow from the conclusion, and if you fail to reject the null, then your insight should be non-conclusive but possibly offering thoughts about why the results were as they were and whether it makes intuitive sense.
2. One-Way ANOVA
   > Create a new variable AGE3 in which ages from 0-59 are recoded as a 1, ages 60-69 are recoded as a 2, and ages 70 and older are recoded as a 3 .
   - Choose any scale variable from the RENAL sav file.
   > Write out the assumptions for the ANOVA and evaluate that the variables are appropriate for the test (if not, you must select another set of variables).
   - State the hypothesis to be tested.
   - Conduct a One-Way ANOVA on the scale variable with AGE3 as a factor. Use the
   Bonferroni Post Hoc test as appropriate.
   > State the reject / not reject decision and conclusion.
   - State any insights (in English) you can draw from the results; if you reject the null, your insights should follow from the conclusion, and if you fail to reject the null, then your insight should be non-conclusive but possibly offering thoughts about why the results were as they were and whether it makes intuitive sense.
3. Mann-Whitney \(U\) test
   Choose any scale variable and any nominal variable with two levels from the RENAL.sav file (e.g., GENDER, DIABETES, ALIVE, BYPASS, etc.).
   Write out the assumptions for the Mann-Whitney \(U\) test.
   - State the hypothesis to be tested.
   - Conduct a Mann Whitney U test on the scale variable with the nominal variable as a grouping variable.
   - State the reject / not reject decision and conclusion.
   - State any insights (in English) you can draw from the results; if you reject the null, your insights should follow from the conclusion, and if you fail to reject the null, then your insight should be non-conclusive but possibly offering thoughts about why the results were as they were and whether it makes intuitive sense.
4. Kruskal-Wallis \(\mathrm{H}\) test
   - Use the AGE3 variable from the ANOVA you performed.
   > Choose any scale variable from the RENAL.sav file.
   - Write out the assumptions for the Kruskal-Wallis test.
   - State the hypothesis to be tested.
   - Conduct a Kruskal-Wallis H test on the scale variable with AGE3 as a factor.
   > State the reject / not reject decision and conclusion. insights should follow from the conclusion, and if you fail to reject the null, then your insight should be non-conclusive but possibly offering thoughts about why the results were as they were and whether it makes intuitive sense.
5. Chi Square test
   - Choose any two nominal variables from the RENAL.sav file.
   - Write out the assumptions for the Chi Square test.
   - State the hypothesis to be tested.
   > Create a Cross-tabulation of the two nominal variables.
   - Compute the Chi-Square, Lambda and Gamma.
   - Discuss the computed values of Lambda and Gamma.
   - State the reject / not reject decision and conclusion.
   - State any insights (in English) you can draw from the results; if you reject the null, your insights should follow from the conclusion, and if you fail to reject the null, then your insight should be non-conclusive but possibly offering thoughts about why the results were as they were and whether it makes intuitive sense.
6. Regression analysis.

- Choose any two scale variables from the RENAL.sav file.

- Write out the assumptions for the Regression Analysis.

> Conduct tests for the assumptions; evaluate the assumptions by analyzing the residuals.

> Create a scatterplot with regression line.

- State the hypothesis to be tested.

- Conduct a linear regression analysis and test for correlation.

> Discuss the computed R, R-squared and the regression model.

> State the reject/not reject decision and conclusion.

State any insights (in English) you can draw from the results; if you reject the null, your insights should follow from the conclusion, and if you fail to reject the null, then your insight should be non-conclusive but possibly offering thoughts about why the results were as they were and whether it makes intuitive sense.

Price: $27.25

Solution: The downloadable solution consists of 12 pages, 1525 words and 13 charts.
Deliverable: Word Document