Instructor Office:  694 PGH
Office Hours: Tue 12-1, Thu 2:30-3:30 or by appointment
Phone Number:  (713) 743-3492
E-mail address:  dlabate@math.uh.edu
Homepage:  http://www.math.uh.edu/~dlabate

Grader: Wilfredo Molina
E-mail address:  wjmolina@math.uh.edu
Office: PGH 347
Tutoring: Tutoring hours and location

The course is an introduction to statistics for biological and biomedical data. Students will learn to apply exploratory methods, generalized linear models, analysis of variance, cross-sectional studies, and non-parametric methods.

R resources. I recommend using R when it is required to compute numerical solutions. Here is the link to the Comprehensive R Archive Network CRAN to download R and here is the link to Rstudio. Rstudio includes a console, syntax-highlighting editor that supports direct code execution, and a variety of robust tools for plotting, viewing history, debugging and managing your workspace. Here are some manuals and here are some introductory examples of R scripts. For additional tutorials to the use of specific functions, here is an excellent site.

Here are my REVIEW NOTES OF BACKGROUND MATERIAL: Instructor notes

The only way to understand and master the material presented in class is by working out the homework problems on your own. You are strongly encouraged to work out the homework problems that are assigned regularly and carefully. Copying the homework from someone else or watching someone else doing the work for you will bring you minimal benefit. The homework will count 30% towards the final grade. There will be (almost) weekly homework assignments posted at the link below. At the end of the semester, your worst HW score will be dropped.

Homework submission and evaluation policy: Every week I might administer a in-class quiz (10 min) based on the homework as an alternative to collecting the homework. The quiz will be at the beginning of the lecture. If you are forced to miss class on that day, you can hand me the homework or e-mail it to me by the DUE DATE AT THE BEGINNING OF THE LECTURE (1PM). No late homework submissions will be accepted since I will post the solution online right after the quiz or hw due time. A late or missed HW will receive a 0 score. Subnmitted homework should be in a "professional" form which allows a grader to read your solutions without unnecessary effort or ambiguity. In particular, your solution should either be typed or handwritten in a neat and legible form; if you e-mail scanned pages, they should be perfectly legible and the size of the file less than 5MB; submitted pages should be ordered with clear indication of which problem is being solved; if your homework solution consists of more than one page, pages must be stapled. Collected homework which does not satisfy these guidelines might receive up to a penalty in the score. The aggregated homework score (this includes the quizzes score) will count 30% towards the final grade. I will drop the worst HW score before computing the aggregated score.

HOMEWORK PROBLEMS:

(the list below will be updated during the semester)

Homework 1 - HW1 Here find: summary table of hypothesis testing and Student t distribution table - DUE: 8/29 - Solution.
Homework 2 - From textbook: 7.3.1, 7.3.3, 7.4.3, 7.5.1, 7.6.2 - - DUE: 9/5 - Solution.
Homework 3 - From textbook: 7.10.1, 7.10.2; 8.2.1, 8.2.2 (use R to solve the problems 8.2.1 and 8.2.2) - - DUE: 9/19 - Solution.
Homework 4 - From textbook: 8.3.1, 8.3.2; 8.4.1, 8.4.2, 8.5.2 (use R to solve the problems) - - DUE: 10/1 - Solution.
Homework 5 - From textbook: 9.3.3, 9.3.4, 9.4.1, 9.4.2 (use R to solve the problems) - - DUE: 10/8 - Solution.
Homework 6 - From textbook: 9.7.1, 9.7.2, 10.3.1, 10.3.2 (you can use R to solve the problems) - - DUE: 10/15 - Solution.
Homework 7 - From textbook: 11.2.1, 11.2.2, 11.4.1, 11.4.2 (you can use R to solve the problems) - - DUE: 10/31 - Solution.
Homework 8 - From textbook: 12.3.1, 12.3.2, 12.3.4, Review problem 20 in Ch.12, p.573 in my book (there is no need to use R to solve the problems but you can). Here find: Chi-Square percentile table - DUE: 11/12 - Solution.
Homework 9 - From textbook: 12.4.2, 12.4.4, 12.5.2, 12.7.2, 12.7.3 (there is no need to use R to solve the problems but you can). - DUE: 11/26 - Solution.

Tests. There will be three tests in class counting 40% towards the final grade (tentatively) on TUE SEP 10, THU OCT 17, THU NOV 14 . The worst of your 3 tests will be half-dropped; that is, the 3 tests counts 40% towards the final grade, where the best two tests will count 16% each, the worst one will count 8%.
Final exam. The final exam counts 30% towards the final grade. This is scheduled on THU DEC 5 at 2 pm.
Makeup test. Makeup tests will be allowed only for justified and unavoidable absences (e.g., a car accident, a medical or family emergency). In this case, if possible, previous authorization should be obtained from the Instructor. In the other cases, you will receive a zero score for a missed test. All arrangements for make-ups must be made via email.

Here are the tests with solutions: (I will post the information for current tests when available)
Test #1 with Solution -- Test #2 with Solution -- Test #3 with Solution

 

To determine your grade I will compute a final score between 0-100 that depends 30% on the homework, 40% on the tests and 30% on the final exam.
The final grade is then determined according to a set point scale (+ and - will also be used):
90-100: A;     80-89: B;   70-79: C;   60-69: D;    0-59: F .