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.
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