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# Mann-Whitney U test

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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## If a hypothesis is not rejected

If a hypothesis is not rejected at the 5% level of significance is (please select the correct one) there is insufficient information to say what will…

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