Reference no: EM132293914

SAS Descriptive Data Analysis Assignment -

Purpose & Content of Analysis Paper -

The purpose of this assignment is to provide a rough draft of a section of your analysis paper so that you can receive feedback on your methods. It should include the following:

1. Short description of your research question.

2. Statement of the dataset you will use to answer the question.

3. Names of the variables you will use.

4. Descriptions of the variables you will use.

5. List of the SAS analyses you did to provide descriptive statistics.

6. Discussion of the results of those analyses.

7. Your SAS code (copied into a Word document).

8. Your results (printed from SAS and saved as a PDF file).

DATA ANALYSIS ASSIGNMENT - Analysis of Kaiser-Permanent Data Set

This assignment uses a data set that was collected as part of the Kaiser Permanente study of the oldest old.

You should know the difference between Description and Hypothesis

Describing the study precedes analysis

1. Study background (where, when, who, and how, i.e. study design)

2. Sample characteristics (homogeneous, comparison)

Hypothesis

1. Formalize research question

2. Draw conclusion

Internal and external comparison.

1. Go to the SAS On-Demand for Academics website.

2. Create a new program by clicking on the second icon in the left window pane.

3. The first line of your program should be a LIBNAME statement. This will grant you access to the library that contains the Kaiser Permanente dataset (called "old").

4. Create a PROC CONTENTS in order to see the names and types of variables contained in this dataset as well as the labels for each variable.

5. After you've highlighted the code for the procedure, click on the icon at the top that looks like a running man. This will run the procedure.

USING THE BINOMIAL DISTRIBUTION TO CALCULATE PROBABILITY

6. Compute the probability of still being alive at the end of the study period (DTHFLAG = 0) and the confidence interval for this probability.

COMPARING TWO MEANS USING A 2-INDEPENDENT SAMPLES T-TEST

When to use this test: when you have one numeric variable and one categorical variable that only has two categories. You will be comparing the mean value of the continuous variable for the two independent groups.

7. Researchers want to know if there is a statistically significant difference in the mean value of age for those who died compared to those who did not die? Conduct an independent t-test to determine if there is a significant difference in age (AGE_COMP) between people who died and those who did not (DTHFLAG).

8. Compute the odds ratio of death (DTHFLAG) for males versus females (SEX).

9. Write a one page summary of your analysis. Explain all your findings for steps 6, 7, and 8, in terms of both the point estimates (odds ratios) and the confidence limits (95% confidence intervals). Be as descriptive as possible and make sure to follow the 5-step process for hypothesis testing that you learned in chapter 7. With this summary you will be moving from descriptive analysis to inferential analysis. You can now discuss the relationship between the two variables you are analyzing; whereas before, you could only describe the individual variable you were analyzing.

Attachment:- Assignment Files.rar