Mann-Whitney U test (nonparametric) - Using the variables length of stay (scale) variable and Gender (nominal) - Conduct a Mann-Whitney U test on the...

Mann-Whitney U test (nonparametric)  - Using the variables length of stay (scale) variable and Gender (nominal)  - Conduct a Mann-Whitney U test on the scale variable with the nominal variable as a grouping variable.  - Copy and paste the output in a Word processor in RTF format.  - State the hypothesis to be tested.  - State the reject / not reject decision and conclusion.2) Kruskal-Wallis H test (nonparametric)   - Create a new variable AGE3 in which ages from 0-59 are recoded as 1, ages 60-69 are recoded as 2, and ages 70 and older are recoded as 3.  - Conduct a Kruskal-Wallis H test on the scale variable 'length of stay' with the new nominal variable as a grouping variable.  - Copy and paste the output in a Word processor in RTF format.  - State the hypothesis to be tested.  - State the reject / not reject decision and conclusion.3) Chi Square test (nonparametric)  -  Choose any two nominal variables from the RENAL.sav file.  - Conduct a Chi Square test of Independence on the two variables, displaying the crosstabulation table.  - Copy and paste the output in a Word processor in RTF format.  - State the hypothesis to be tested.  - State the reject / not reject decision and conclusion.4) Correlation & Regression  - Choose any two scale variables from the RENAL.sav file.  - Create a scatterplot with regression line.  - Conduct a linear regression analysis and test for correlation.  - Copy and paste the output in a Word processor in RTF format.  - State the hypothesis to be tested.  - Discuss the computed values of R, R-squared and the regression model.  - State the reject / not reject decision and conclusion.