MA  3339,    Fall 2012

Mon, Wed, Fri 12-1,    SEC 201

1.    Instructor:  Demetrio Labate
Instructor Office:  694 PGH
Office Hours: Mon, Wed 1-2 or by appointment
Phone Number:  (713) 743-3492
E-mail address:  dlabate@math.uh.edu
Homepage:  http://www.math.uh.edu/~dlabate
2. Goals and Objectives:
The course is an introduction to statistics. Students are introduced to the notions of graphical and descriptive methods in statistics, probability models, random variables and distributions, sampling, estimation, hypothesis testing, regression, analysis of variance, exploratory and diagnostic methods, statistical computing.
3. Textbook: "Applied Statistics for Engineers and Physical Scientists,", 3rd Edition, by Ledolter and Hogg, Prentice-Hall, 2010

4. Homework and Examinations:
You are strongly encouraged to work out the homework problems that are assigned regularly and carefully. The only way to understand and master the material presented in class is by working on your own, and not by watching someone else doing the work for you. There will be weekly homework assignments posted at the link below counting 30% towards the final grade. Your worst HW assignment will be dropped.

Homework submission policy: Homework is due on the DUE DATE before the beginning of the lecture (12:05PM). No late homework submissions will be accepted. A late or missed HW will receive a 0 score. Homework should be submitted in a "professional" form which allows the 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 submit scanned pages, they should be perfectly legible; 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. Homework which does not satisfy any of these guidelines will receive a 10-20% penalty in the score.

HOMEWORK PROBLEMS:

There will be three tests in class counting 40% towards the final grade (tentatively, on Mon Sept 17, Wed Oct 17, Wed 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%.
The final exam counts 30% towards the final grade. This is scheduled on Wed Dec 19, 11AM-2PM
Makeup tests (or no penalization) will be allowed only for justified and unavoidable absences. In this case, if possible, previous authorization should be obtained from the Instructor. In all other cases, you will get a zero score for a missed test.

 
    Grading:
The grade will be determined according to a set point scale: 90%-100%: A, 80%-89%: B, 70%-79%: C, 60-69% D; F is less than 60% (+ and - will also be used).
 
5. Topics and estimated lectures allocated to each topics:
 
 
 Chapter  Sections Lectures   Topics
1 1-5
2 Collection and Analysis of Information
2 1-7
7/8 Probability Models and Discrete Distributions
3 1-6 6/7 Continuous Probability Models
4 1-7
9/10
Statistical Inference
5 1-4 7/8 Regression Analysis
6 1-3 4/5 Experiments with One Factor

 

Academic Integrity Statement: Students are expected to follow university guidelines.

Students with disabilities: Written requests issued by the Office of Disability Services will be honored.