               Listed below are the assigned homework problems.  Although most of these homework problems will NOT be turned in for a grade, you should expect to see similar problems or these exact problems on tests and projects.  You will be at a great disadvantage when taking tests and completing projects without doing these homework problems.  Partial answers and SAS programs are available for some homework problems.

If you are using Internet Explorer 4.0 or above, the homework is listed as a collapsible outline. To expand the outline, click on the bullet to the left of the chapter's homework that you would like to see. Chapter 1 Run the SAS program GPA_example.sas.  The data set needed for it is located on the data sets webpage. 1.20, 1.24, 1.28, 1.45 Click here for the SAS program for #1.45 Note that all data sets in NKNW are on the diskette accompanying the textbook.  If your book did not come with the diskette, go to the data sets web page to download them. Examine the regression applet at http://www.niss.org/~karr/stats/regression1.html Chapter 2 2.2, 2.5, 2.11, 2.12, 2.14 (replace d. with: use SAS to create a scatter plot with the estimated regression line, 90% C.I., bands, and 90% P.I. bands), 2.24 (only a.-c.), 2.30 (only a. and c.), 2.31 (a.-c.), 2.47. Chapter 3 3.4 For part a., use PROC UNIVARIATE to examine X. For part e., only do the normal probability plot. 3.8 For part d., only do the normal probability plot. 3.27 Chapter 4 4.3 (only b.-c.), 4.7 (only a. and c. using the Bonferroni procedure), 4.27 (only a.-b. and d. using the Bonferroni procedure) Chapter 5 5.4, 5.12, 5.23 Find the following for the calculator maintenance data set (see #1.20) using matrix methods: 95% C.I. for E(Yh) at Xh=6, and 95% P.I. for Yh(new) at Xh=6. Chapter 6 6.18(a.-e., g.) For e.: Don't do the two factor interaction plots Partial answers (download Word file) 6.19 For c.: Also calculate and interpret the adjusted R2 6.20 Use the Bonferroni procedure 6.21 6.30 For d.: Also calculate and interpret  the adjusted R2 For e.: Don't do the two factor interaction plots Supplementary problems (download Word file) Chapter 7 7.7, 7.8, 7.10, 7.15, 7.27, 7.36a.-c., 7.37a.-c. (do not find the combine risk for b.), 7.57, 7.60 Also for 7.37c., do the following: Using PROC G3D, create a scatter plot of the data. Using PROC G3D, create a plot of the estimated regression plane. Using PROC GCONTOUR, create a contour plot of the estimated regression plane. Partial answers (download Word file) Chapter 8 8.9a.-c. For part a., run PROC UNIVARIATE on all of the independent variables instead of doing a dot plot. 8.10a. 8.18a.-c. For part a., use slentry=0.15 and slstay=0.30 instead of the F limits given in the problem. For part c. use the following model statement in SAS (notice the include option): model Y=X1 X2 X3 X4 / include=1 details=summary slentry=0.15 slstay=0.30 selection=stepwise; 8.23a.-c. This data step can be used to read in the data, transform Y, and keep observations 57-113:   data senic1;     infile 'c:/chris/osu/stat4043/NKNW_data/apc1.dat';     input ID stay age infection culture xray beds school          region census nurses facilities;     stay_log = log10(stay);     if _n_ >= 57; run; For part a., run PROC UNIVARIATE on all of the independent variables instead of doing a dot plot. For part c., use all model selection methods discussed for Chapter 8, except for PRESSp. Partial answers (download Word file) Chapter 9 9.19 For part c, only do the normal probability plot 9.28 For part b, only do the normal probability plot Partial answers (download Word file) Chapter 10 10.14 10.29 - Replace with the following questions in 10.29HW.doc 10.36 Partial answers (download Word file) Chapter 11 11.26 and 11.27