NOTES: Read carefully and save for reference. You are responsible for the information contained herein.

INSTRUCTOR: J. Horowitz

OFFICE: LGRT 1446 PHONE: 545-6012 EMAIL: joeh@math.umass.edu

WEB: www.math.umass.edu/~joeh/s501/index.html

OFFICE HOURS: Weds., 2:30 - 3:30, Thurs. 11:00-12:00, or by appointment

TEXT: Mendenhall, Beaver, Beaver, Introduction to Probability and Statistics, 11th ed.

PREREQUISITES: Knowledge of H.S. algebra, junior standing or higher

GRADING: Homework 20%; two Midterm Exams 25% each; Final Exam 30%. Grades will be based on the following scale:

A: 90-100 AB: 85-89 B:80-84 BC: 75-79 C: 65-74 CD: 60-64 D:50-59 F: 0-49

EXAMS: Midterm Exams: Please note dates and times carefully.

Exam 1: Oct. 9, room LGRT 103, 7:15-9:15 P.M.

Exam 2: Nov. 6, room LGRT 101, 7:00-9:00 P.M.

FINAL EXAM: Fri. Dec. 19, 10:30-12:30, LGRC A301

FINAL EXAM: The material covered by the exam is: all material covered in class since the material for the second midterm exam. This includes

- hypothesis testing in large samples (ch. 9 in [MBB])

- ch. 10 (all except sections 10.6, 10.7), including both hypothesis tests and CIs

- ANOVA (one-way, randomized blocks)

- regression (simple linear regression, polynomial regression).

MAKE-UP POLICY: Make-up exams will be given only for legitimate, documented reasons (e.g.,illness). Under no circumstances will make-ups be given to accommodate travel arrangements that conflict with scheduled course activities.

HOMEWORK: Since one objective of the course is clear communication, homework must be neat, legible, on letter size paper, in proper English, and on time. Computer printout must be submitted as described in class.

In writing up homework, it is NOT sufficient to give only the answer to a problem: you must show how you got it. (It is not necessary to show detailed calculations or to write an encyclopedia, just enough to show that you know what you're doing.) No credit will be given for an answer unless there is supporting evidence.

Discussion of homework with fellow students is allowed, but the final write-up MUST BE YOUR OWN. No credit will be given to either party for work that has been copied.

ACADEMIC HONESTY: Cheating will be dealt with in accordance with University policy on academic honesty, which may include lowering the course grade or failing the course. The University may impose further penalties. This is discussed in the booklet, "Undergraduate Rights and Responsibilities".

COURSE DESCRIPTION: An applied statistics course for graduate students and upper level undergraduates with no previous background in statistics who will need statistics in their further studies and their work. The focus is on understanding and using statistical methods in research and applications. Topics include: descriptive statistics, probability theory, random variables, random sampling, estimation and hypothesis testing, basic concepts in the design of experiments and analysis of variance, linear regression, contingency tables. The course has a large data-analytic component using a statistical computing package.

STAT501 proceeds at a faster pace, makes greater demands on the student, and has a computer component, in contrast to STAT111 and 140. It should not be used as a substitute for either of those courses. STAT515-516 is a calculus-based two-semester sequence that covers some of the theoretical basis for the techniques of applied statistics.

I. Introduction

II. Probability and random variables

III. Descriptive statistics

IV. Random sampling, sampling distributions

V. Confidence intervals and hypothesis testing for one and two samples

VI. Design of Experiments and Analysis of Variance

VII. Two-way contingency tables

VIII. Linear regression

COPYRIGHT INFORMATION: Many of the materials created for this course are the intellectual property of the instructor. This includes, but is not limited to, the syllabus, lectures, and course notes. Except to the extent not protected by copyright law, any use, distribution, or sale of such materials requires the permission of the instructor. Please be aware that it is a violation of University policy to reproduce, for distribution or sale, class lectures or class notes, unless copyright has been explicitly waived by the faculty member.