Math 3339, Section 10855 - Fall 2006

Statistics

Teacher Evaluations

The Math Dept will collect the evaluations via an online form.
See http://www.casa.uh.edu/TeacherEvaluation .

General information

Classes: MW 1:00-2:30pm, 162 F
Instructor: Andrew Török
- Office: 672 PGH
- Phone: (713) 743-3478
- E-mail: torok at math.uh.edu
- Office hours: see the home-page
TA: Matthew Dulock
- Office: 677 PGH
- Office hours: Monday and Wednesday 2-3pm
Textbook: Probability and Statistical Inference by Robert Hogg and Elliot Tanis, 7^th edition
(there are some differences between this and the previous editions, at least as far as the material is organized and the numbering of the exercises)
Course description
- Syllabus: see the department page of syllabi
- Syllabus for the 6th edition (should contain the corresponding problems)
- Section 6.9, Order Statistics, of the 7th edition is Section 5.6 in the 6th edition.
- Policy
Computers: We will use the Math computer lab, in 648 PGH. Accounts will be created soon. Come to see me to get the necessary information. You can also install the needed software, S-plus or R, on your own computer (see below).
Extra help:
- See the Undergraduate Math Help page of the department.
Probability review
Linear Regression R-example and formulas
ANOVA Examples

Corrections

Section 6.6, problem #9: the answer in the book for (b) is not correct. Do instead problem #11.
Section 6.10, problem #4: part (a) should say "Find a 94.26% CI for m."
Section 8.4, problem #1: answer to part (b) not precise in the textbook.

Exams

Exam I: Monday, September 25
- The exam will cover the material up to (and including) section 6.10.
- It will be a closed-book exam, but you will receive a booklet with all the tables from the book, and the summaries on the inner covers of the book. The basic formulas for the F and T distributions are also provided. Here are more details.
- There are no questions about Splus/R.
- Please have a calculator that computes (at least) sample means and sample standard deviations.
- Review will be held on Monday, Sept. 18. Bring any questions you might have.
- This is a list of review problems.
- Please bring your student ID.
Exam II: Wed., October 25
- It will be a closed-book exam, but you will receive a booklet with all the tables from the book, and the summaries on the inner covers of the book. The basic formulas for the F and T distributions, regression (the handout given in class), and Wilcoxon tests are also provided.
- Will cover all the material up to (and including) Section 8.4 (Wilcoxon tests). The emphasis is on the material discusses since the previous exam.
- Review will be held on Wed., Oct. 18. Bring any questions you might have.
- Please have a calculator that computes (at least) sample means and sample standard deviations. One computing linear regression would be even more useful.
- This is a list of review problems.
- Please bring your student ID.
Exam III: Monday, Nov. 27
- It will be a closed-book exam, but you will receive a booklet with all the tables from the book, and the summaries on the inner covers of the book. The basic formulas for the F and T distributions, regression (the handout given in class), Wilcoxon and ANOVA tests are also provided.
- Will cover all the material up to Section 9.3 [assuming we cover it in class]. The emphasis is on the material discusses since the previous exam.
- Review will be held on Mon., Nov. 20. Bring any questions you might have.
- Please have a calculator that computes (at least) sample means and sample standard deviations. One computing linear regression would be even more useful.
- This is a list of review problems.
- Please bring your student ID.
Final Exam: Wednesday, Dec. 13, 2-5pm
- It will be a closed-book exam, but you will receive a booklet with all the tables from the book, and the summaries on the inner covers of the book. The basic formulas for the F and T distributions, regression, Wilcoxon and ANOVA tests are also provided.
- The exam is comprehensive. It will cover all the material up to (and including) Section 9.3 [assuming we cover that section].
- Note: There will be problems on the exam where you only have to give the formulas that should be used, but not do the computations.
- Please have a calculator that computes (at least) sample means and sample standard deviations. One computing linear regression would be even more useful.
- Review problems were handed out in class on Nov. 13. You should also look at the review problems for the previous exams.
- Review will be held on Wed., Nov. 29. Bring any questions you might have.
- Please bring your student ID.
- If you have questions about the material (between Nov. 29 and the final exam), please send an e-mail or call to arrange for a meeting.

Assignments

Problems

Please hand in the following problems from the textbook. Write the solutions in full (not only the result).
These assignments count for 50 points of the final score.

HOMEWORKS
HW # Section Problems

1. (due Sep. 6) 6.2 5(a), 10
6.4 1, 5
6.5 1, 3
2. (due Sep. 13) 6.6 3, 8
6.7 7, 13
6.8 1, 9, 16
6.9 3
3. (due Sep. 20) 6.10 4 (part (a) should say "94.26% CI for m")
4. (due Oct. 4) 6.11 1, 9 (explain your computation;
use R or a calculator that does regression)
6.12 1 (do only x=68)
5. (due Oct. 11) 8.1 3, 7, 17
6. (due Oct. 18) 8.2 7, 13
8.3 5
8.4 1 (answer to (b) a bit imprecise in the book)
11
7. (due Nov. 1) 8.5 1, 9
8. (due Nov. 8) 8.6 3, 5
8.7 1
9. (due Nov. 15 or Nov. 20) 8.8 1, 7
8.9 1
10. (due Nov. 20 or 27) 9.1 3, 5
9.2 1
9.3 1

Computer assignments
These assignments contribute 60 points to the final score. In addition, each extra credit question is worth 5 points.
- Please turn in the fifth and sixth lab assignments by Wed., Nov. 29.
  The R-code for a bivariate normal distribution is at the end of the help-page with R commands.
  If you have problems loading the functions you saved (either because they are not in the place where R looks for them - see Method 1, or they were written with a wrong text-editor), you can just "copy-and-paste" (see Method 2).

HOMEWORKS
1. (due Sep. 6)	6.2	5(a), 10
6.4	1, 5
6.5	1, 3
2. (due Sep. 13)	6.6	3, 8
6.7	7, 13
6.8	1, 9, 16
6.9	3
3. (due Sep. 20)	6.10	4 (part (a) should say "94.26% CI for m")
4. (due Oct. 4)	6.11	1, 9 (explain your computation; use R or a calculator that does regression)
6.12	1 (do only x=68)
5. (due Oct. 11)	8.1	3, 7, 17
6. (due Oct. 18)	8.2	7, 13
8.3	5
8.4	1 (answer to (b) a bit imprecise in the book) 11
7. (due Nov. 1)	8.5	1, 9
8. (due Nov. 8)	8.6	3, 5
8.7	1
9. (due Nov. 15 or Nov. 20)	8.8	1, 7
8.9	1
10. (due Nov. 20 or 27)	9.1	3, 5
9.2	1
9.3	1

About R/Splus

We will meet once in the computer lab, 648 PGH, to get acquainted with the software (and Linux).
You can use either S-plus or R; there are only minor differences between them.
- S-Plus: free student edition
- R: free software
Computer lab hours: 648 PGH can be used whenever it is open (most of the day, but there are also classes meeting there).
If you did not receive your pasword, come to see me.
Lab assignments: will be handed out during the semester. You will have 1-2 weeks to turn them in.
A few S-Plus (or R) commands.
A link to S-Plus tutorials, http://www.math.montana.edu/stat/tutorials/Splus.html, from Montana State University.
Printing from R (in 648 PGH): see the commands above.

Last modified:

HOMEWORKS
HW #	Section	Problems
1. (due Sep. 6)	6.2	5(a), 10
	6.4	1, 5
	6.5	1, 3
2. (due Sep. 13)	6.6	3, 8
	6.7	7, 13
	6.8	1, 9, 16
	6.9	3
3. (due Sep. 20)	6.10	4 (part (a) should say "94.26% CI for m")
4. (due Oct. 4)	6.11	1, 9 (explain your computation; use R or a calculator that does regression)
4. (due Oct. 4)	6.12	1 (do only x=68)
5. (due Oct. 11)	8.1	3, 7, 17
6. (due Oct. 18)	8.2	7, 13
	8.3	5
	8.4	1 (answer to (b) a bit imprecise in the book) 11
7. (due Nov. 1)	8.5	1, 9
8. (due Nov. 8)	8.6	3, 5
8. (due Nov. 8)	8.7	1
9. (due Nov. 15 or Nov. 20)	8.8	1, 7
9. (due Nov. 15 or Nov. 20)	8.9	1
10. (due Nov. 20 or 27)	9.1	3, 5
	9.2	1
	9.3	1