Purpose: To complete a basic two course sequence (in conjunction with STAT 515 or 509) in statistical techniques available to the general practitioner for analyzing experimental data. To introduce students in many different disciplines to multiple regression and analysis of variance for basic experimental designs. To provide students with the knowledge to implement and interpret these standard linear models.
Current Textbook: Statistical Methods, Third Edition, by R.J. Freund, W. J. Wilson and D. L. Mohr, 2010.
Date | Assigned Homework Problems |
Date of Quiz that Includes This Material |
Monday, January 14 | Read Section 7.1 carefully! | Wednesday, January 16 |
Wednesday, January 16 | Exercise 3(c) [just plot the data points, and comment] | Friday, January 18 |
Friday, January 18 | Exercise 5(a) [also interpret coefficients, data given at bottom of web page] | Wednesday, January 23 |
Wednesday, January 23 | Exercises 1(b), 1(d) [just do ANOVA F-test, not t-test] | Friday, January 25 |
Friday, January 25 | Exercises 1(d) [just do t-test, not F-test], 3(a,c,d), 7(a,b) [Data for #3 and #7 given at bottom of web page] | Monday, January 28 |
Monday, January 28 | Exercise 3(b) [compute 95% PI for Y when X = 76] Exercise 5(b) [compute 95% CI for E(Y|X) and 95% PI for Y when X = 60, and interpret both] (You can use R for both of these problems) [Data for #3 and #5 given at bottom of web page] | Wednesday, January 30 |
Wednesday, January 30 | Exercise 3(e) [also interpret r^2] [Data for #3 given at bottom of web page] | Monday, February 4 |
Friday, February 1 | Exercise 7(c) [do Q-Q and residual plots] Exercise 9(a,b) [do Q-Q and residual plots] [Data for #7 and #9 given at bottom of web page] | Monday, February 4 |
Monday, February 4 | [Data for #8 given at bottom of web page] | Wednesday, February 6 |
Wednesday, February 6 | Exercise 8(a) [use R, and perform t-test about DASH100] Exercise 13(a) [use R, and perform t-test about SQFT] Exercise 16(a) [hint: do 'full vs. reduced' F-test] [Data for #8 and #13 given at bottom of web page] | Monday, February 11 |
Friday, February 8 | Exercise 5(a) [use R, and also get 90% PI for weight of tree with DBH=8, height=50, age=14, grav=0.4] [Data for #5 given at bottom of web page] | Monday, February 11 |
Monday, February 11 | | Wednesday, February 13 |
Wednesday, February 13 | Exercises 6(a,b,c), 7(a,b,c), 8(b) [use R] [Data for #6, #7, and #8 given at bottom of web page] | Monday, February 18 |
Friday, February 15 | Exercise 8(c) [use R] [Data for #8 given at bottom of web page] | Monday, February 18 |
Monday, February 18 | | Monday, February 25 |
Wednesday, February 20 | | Monday, February 25 |
Monday, February 25 | Exercises 4(a), 12(a), 15(a) [use R to do ANOVA F-test] [Data for #4, #12, and #15 given at bottom of web page] | Wednesday, February 27 |
Wednesday, February 27 | In class on Friday we will use the data in Exercise 2(a) and do the full ANOVA table and F-test using the ANOVA formulas. | Monday, March 4 |
Monday, March 4 | Exercise 12(b) [use R to test whether mean diameter for media 'WA' and 'TWA' is significantly different than mean diameter for 'RDA' and 'PDA', using a contrast] [Data for #12 given at bottom of web page] | Wednesday, March 6 |
Wednesday, March 6 | | Monday, March 18 |
Friday, March 8 | Exercise 15(b) [use R to do Tukey procedure, NOT the Duncan procedure] [Data for # 12 and #15 given at bottom of web page] | Monday, March 18 |
Monday, March 18 | Exercises 15(a), 16(a) [Hint: A "profile plot" is the type of plot we have been drawing in class, similar to Figure 9.1 on p. 488] | Wednesday, March 20 |
Wednesday, March 20 | [For each of these problems, use R to do the overall F-test, the F-test for interaction, and (if necessary), the F-tests for main effects] [Data for #2, #3 and #9 given at bottom of web page] | Monday, March 25 |
Friday, March 22 | [Use R to compare the mean volume for the coldest storage temperature versus the mean volume for the other temperatures, when the eggs are stored for 15 days] [Data for #9 given at bottom of web page] | Monday, March 25 |
Monday, March 25 | [Use R to perform multiple comparisons among the means for all pairs of factor level combinations, using Tukey's procedure] [Data for #9 given at bottom of web page] | Monday, April 1 |
Friday, March 29 | | Monday, April 1 |
Monday, April 1 | | Wednesday, April 3 |
Wednesday, April 3 | [Use R to test for a year effect and for significant variation among routes.] [Data for #10 given at bottom of web page] | Monday, April 8 |
Friday, April 5 | [Use R to test for a treatment effect and for significant variation among blocks.] [Data for #1 given at bottom of web page] | Monday, April 8 |
Monday, April 8 | Read notes on Latin Squares carefully! | Wednesday, April 10 |
Wednesday, April 10 | Monday, April 15 | |
Friday, April 12 | [Use R to conduct F-tests based on Type III SS] [Data (and R code with hints) for #9 given at bottom of web page] | Monday, April 15 |
Monday, April 15 | [Use R to fit ANCOVA model, and test for an effect of WWT on FWT] [Data for #1 given at bottom of web page] | Wednesday, April 17 |
Wednesday, April 17 | [Use R to fit ANCOVA model, and test for an effect of Weaning Time on FWT] [For 4(a), test for the effects of both the covariate and the factor] [Data for #1 and #4 given at bottom of web page] | Monday, April 22 |
Friday, April 17 | [For #1, use R to fit ANCOVA model and test whether equal-slopes model is sufficient] [For 4(b), test whether equal-slopes model is sufficient] [Data for #1 and #4 given at bottom of web page] | Monday, April 22 |
Monday, April 22 | [Use R to fit logistic regression model; find estimates for beta_0 and beta_1, and plot fitted curve] [Data for #3 given at bottom of web page] | Wednesday, April 24 |
Wednesday, April 24 | [Use R to fit logistic regression model; find estimates (and 95% CI) for odds ratio, and interpret] [Data for #3 given at bottom of web page] | Monday, April 29 |
Friday, April 26 | [Use R to conduct Wald test and LR test for the significance of venticle size] [Data for #3 given at bottom of web page] | Monday, April 29 |
Available Computing Resources:
R is available as a free download (from the CRAN home page) and students who want SAS can buy
a copy from USC Computer Services.
These packages are also available on the computers in the labs in LeConte College (and a few other buildings).
SAS is available in LC 124 and possibly PSC 109. R is available in LC 124 and LC 303A.
Help in using R can be found on the CRAN home page.
Computer Code for Class Examples
Required Computing Resources:
Some problems in this course involve significant computations, and for spring 2013, we will
primarily learn to use the software package R to do the needed computations.
You will need access to a computer with R (available as a free download from the CRAN home page). This can easily be downloaded onto your home computer.
Alternatively, you could use the software package SAS (available in the LeConte College computer labs).
Example code in both R and SAS will be provided on the course web page, but we will use R for the in-class examples.
Both R and SAS are available on the computers in the labs in LeConte College.
Help in using R can be found on the
CRAN home page.