Construct Normal Quantile plots for length of stay by outcome. Do you think the normality assumptions is satisfied for both groups? Explain why or why not.

What is the appropriate statistical method to determine if there is an association between a diagnosis of AKI and a diagnosis of coronary artery disease? Conduct this analysis in JMP and interpret the results.

Create a visualization of the distribution of length of stay by racial category (Race_cat) and AKI diagnosis (Outcome). (Hint: Replicate the charts shown in Figure 7.3 Histograms of Length of Stay by Outcome and Figure 7.4 Outlier Box Plots for Length of Stay by Outcome and then drag Race_cat into the Group X drop zone.) Discuss the differences in the distributions of racial category.

Discuss what additional patient medical information would be helpful in achieving an improved understanding of AKI?