Question: For this activity, you will be analyzing data in order to determine whether sample means are significantly different from each other. Review chapters 5 and 9 in Field and Miles (2010). Work through the examples found in these chapters of your required readings. Assemble all of requirements for the activity into one Word document for submission. Also, be sure to download and review the Activity 4 Tutorial file in the Additional Resources section.

Instructions: Input the file lipid.sas7bdat from the sample data warehouse as discussed previously. This data set has been collected from blood lipid screenings as well as patient history. Information such as gender, age, weight, total cholesterol, level, blood pressure, coffee consumption, and history of heart disease was collected. The blood lipid screenings were conducted three months after the initial screenings.

A. Test the hypothesis that the mean weight of the population is 150 pounds with a confidence level of 95%.

a) State the null and alternative hypotheses for the test about to be performed.

b) Open the Analysis, Anova, and then t-test menu. Select one sample. Then move to the data window. Move weight to the analysis variable task role. Select Analysis and set the null hypotheses value equal to 150. Leave the equal tailed box checked and the confidence level at 95%. Move to the plots menu and select summary, histogram, box plot, and normal quartile-quartile (Q-Q) plot. On the title menu, unclick the default title and manually type T-test of a Single Sample. Click run.

c) Review the summary statistics, box plot, Q-Q plot and histograms. Do the required assumptions for the t-test appear to be met?

d) From the t-test output, determine what decision to make regarding the null hypotheses and explain your rational. If you reject the null, what are the 95% confidence limits for the actual population weight?
e) Copy what you consider to be the relevant output to your assignment document and include a detailed written analysis of the results.