E-mail: alex.trindade"at"ttu.edu; Phone: 742-2580 x 233.

Course Meets: 11:00-11:50am daily, in Math 016.

Office Hours: 12:00-12:50pm Mon & Wed, 1:30-2:30 Thurs.

Required: *An Introduction to Statistical Methods and Data Analysis*, 5th edition (2001), R. Lyman Ott and Michael Longnecker, Duxbury-Thomson-Brooks/Cole, Belmont, CA [ISBN: 0-534-25122-6].

Also strongly recommended is the accompanying Student Solutions Manual containing solutions to selected exercises [ISBN: 0-534-37123-X].

- Provide a foundation in basic statistical concepts, numerical and graphical data summaries.
- Introduce statistical inference based on the t, F and Chi Square tests.
- Introduce simple linear and multiple regression analysis.
- Introduce statistical aspects of experimental design and the associated analysis of variance (ANOVA) and analysis of covariance (ANCOVA).
- Introduce statistical aspects of categorical data analysis.
- Introduce more advanced concepts and methods in: design of experiments; mixed models; factorial experiments; repeated measures designs.

- Your course grade will be based on a mix of written Assignments (35%), Homework problems (15%), and in-class Tests (50%). Although discussion with others in broad conceptual terms is encouraged for the Assignments and Homeworks, your submitted work must be your own.
- Course averages of at least 90% and 80% will guarantee the
passing grades of A and B, respectively. Course averages below 80% are
candidates for the failing grades of C, D, and F. If your course
average starts to fall in an undesirable (or catastrophic) category,
it is
**your responsibility**to counsel with me about what your options are, and what you might realistically be able to get. Once final grades have been awarded there will be**NO APPEALS!**

- Set 1 (due Sep 9): 1.1, 2.3, 2.11, 3.63.
- Set 2 (due Sep 14): 3.65, 3.87, 4.11.
- Set 3 (due Sep 21): 4.20, 4.33, 4.35, 4.41.
- Set 4 (due Sep 28): 4.65, 4.77, 4.80, 4.97.
- Set 5 (due Oct 19): 5.13, 5.21, 5.32, 5.33, 5.47, 5.58, 5.69.
- Set 6 (due Oct 26): 6.4, 6.16, 6.20.
- Set 7 (due Nov 2): 6.29, 6.33, 7.17.
- Set 8 (due Nov 19): 8.2, 8.6, 8.7.
- Set 9 (due Nov 30): 8.9, 8.10, 8.12, 8.13.

- Assignment 1 (due friday Sep 21): (Word file, Data).
- Assignment 2 (due friday Nov 2).
- Assignment 3 (due monday Dec 3).

- Test 1 (friday Oct 5): Over Unit 1 and counts for 15% of course grade.
- Test 2 (friday Nov 9): Over Units 2 & 3 and counts for 15% of course grade.
- Final Exam (tuesday Dec 11, 5:30-7:30pm): Emphasis on Unit 4 and counts for 20% of course grade.

You should probably select a software package that you already have access to (through your home department's computing system for example) and/or will most likely end up doing research with. Failing this, if you have no prior programming experience I suggest you use **MINITAB**. If you are
more ambitious, computer-savvy, plan on doing extensive exploratory data analysis in
the future and preparing statistical plots for publication, I would
encourage you to become acquainted with **R**; but be aware that it is a steep learning curve! Follow this
link to access some of my resources on statistical computing, particularly R.

top of page