Department of Statistics and Actuarial Science

217 Schaeffer Hall

The University of Iowa

Iowa City, IA 52242

Phone: (319) 335-0818

Email: dale-zimmerman@uiowa.edu

- Spatial statistics, linear models, experimental design, multivariate
analysis, environmetrics, sports statistics

January 19: Sections 2.1 and 2.2

January 22: Sections 2.3 and 2.6

January 24: Sections 2.4 and 2.7

January 26: Sections 2.8 and 2.9

Jamuary 29: Sections 3.1 and 3.2

January 31: Section 3.3

February 2: Section 3.5

February 5: Section 3.6

February 7: Sections 3.4 and 4.1

February 9: Section 4.2

February 12: Section 4.3

February 14: Sections 5.1 and 5.2

February 16: Sections 5.3 and 5.4

February 19: Catch-up

February 21: First Midterm Exam

%February 25: Sections 6.1-6.3

%February 28: Section 6.4

%March 2: Section 6.6-6.7

%March 4: Section 7.2

%March 7: Section 7.3

%March 9: Sections 7.5-7.6

%March 11: Section 7.10

%March 21: Sections 8.1-8.2

%March 23: Sections 8.3-8.4

%March 25: Section 8.5

%March 28: Sections 11.1-11.2

%March 30: Sections 11.3-11.4

%April 1: Section 11.5

%April 4: Catch-up

%April 6: Second Midterm Exam

%April 8: Sections 9.1-9.2

%April 11: Section 10.7

%April 13: Section 9.4

%April 15: Sections 2.5, 10.1-10.2

%April 18: Sections 10.3, 10.5

%April 20: Section 10.8

%April 22: Section 10.9

%April 25: Sections 12.1-12.2

%April 27: No reading

%April 29: No reading

%May 2: No reading

%May 4: No reading

%May 6: No reading

%

%Homework 2: Exercises 2.S.20, 2.S.22, 3.2.2, 3.2.3, 3.3.3, 3.3.4; Due Friday, February 4

%Homework 3: Exercises 3.4.2, 3.4.4, 3.5.1, 3.5.7, 3.5.8, 3.6.1, 3.6.4, 3.6.7; Due Friday, February 11

%Homework 4: Exercises 4.3.9, 4.3.11, 4.3.14, 4.3.15, 4.3.16, 5.2.5, 5.2.8, 5.2.9; Due Friday, February 18

%Homework 5: Exercises 6.2.2, 6.3.4, 6.3.6, 6.3.7, 6.4.1, 6.4.5, 6.6.9, 6.7.7, 6.7.11; Due Friday, March 4

%Homework 6: Exercises 7.2.5 (alternative hypothesis is two-sided), 7.2.9 (alternative hypothesis is two-sided), %7.2.12 (alternative hypothesis is two-sided), 7.2.13 (alternative hypothesis is two-sided), 7.3.10, 7.5.8 (alternative %hypothesis is one-sided), 7.6.3; Due Friday, March 11

%Homework 7: Exercises 7.10.4, 7.10.7, 8.2.2, 8.2.7, 8.2.9, 8.4.5, 8.4.9; Due Friday, March 25

%Homework 8: Exercises 8.5.2, 8.5.5, 8.5.7, 11.2.2, 11.2.5, 11.4.1, 11.4.5, 11.4.6; Due Friday, April 1

%Homework 9: Exercises 9.2.6, 9.2.9, 9.2.10, 9.4.4, 9.4.12, 9.S.14, 10.7.1, 10.7.6; Due Friday, April 15

%Homework 10: Exercises 10.2.1, 10.2.6, 10.3.3, 10.3.8, 10.5.1, 10.5.4, 10.8.2, 10.8.4; Due Friday, April 22

%Homework 11: Exercises 10.9.9, 10.S.9, 12.2.4, 12.2.10; Due Friday, April 29

%Homework 12: Problem 1: For the data in Exercise 12.2.7 (i.e., X = laetisaric acid concentration, Y = fungus %growth), (a) create the scatter plot; (b) obtain the least squares estimate of the intercept using the fact that the %least squares estimate of the slope is -0.712; (c) plot the least squares line on your scatterplot; (d) predict the %fungus growth when the laetisiric acid concentration is 15 (micrograms/ml); (e) obtain a 95% confidence interval for the %slope using the fact that the estimated slope's standard error is 0.03589; (f) obtain a 95% confidience interval for the %predicted fungus growth when the laetisiric acid concentration is 15 using the fact that this quantity's standard error %is 1.8325. Problem 2: For the data in Exercise 12.3.8 (i.e., X = length, Y = maximum jump), (a) create the scatter %plot; (b) obtain the least squares estimate of the intercept using the fact that the least squares estimate of the slope %is 0.3492; (c) plot the least squares line on your scatterplot; (d) predict the maximum jump when the length is 150 mm; %(e) perform a hypothesis test that the slope is equal to 0 at the 0.05 level of significance (against a two-sided %alternative hypothesis) using the fact that the estimated slope's standard error is 0.3965; (f) obtain a 95% confidence %interval for the predicted maximum jump when the length is 150 mm using the fact that this quantity's standard error is %18.96. Due Friday, May 6

2. Exercise 5.2-12: The known solution to this exercise requires some background in complex analysis, which is otherwise not a prerequisite for the book, so this exercise, though correct, really should not be included in the book. It will be removed in future editions.

3. Page 199: A better title for Section 5.5 would be "Distributions Associated with Sampling from Normal Distributions"

4. Exercise 6.4-21: The upper limit of support for x should be plus infinity, not theta.

5. Exercise 7.6-10: Symbols a, b, and c should be beta1-hat, beta2-hat, and beta3-hat, respectively.

6. Exercise 7.6-11: This exercise is correct, but out of place. Part (a) asks for the (sample) correlation coefficient, which is not defined until Section 9.6.

7. Exercise 7.7-6: This exercise is also correct but out of place as it involves calculation of the sample correlation coefficient, which is not defined until Section 9.6.

STAT:7290 Sports Statistics

R functions for antedependence models (under construction)

Data for antedependence models