## MATH 308 Topics in Statistical Inference Fall 2004

 INSTRUCTOR: Prof. KARIN REINHOLD Office: ES 128 A Phone: 442-4641 e-mail: reinhold@math.albany.edu Office Hours: M W 11 - 12 or by appointment. TEXT: Probability and Statistics for engineering and the sciences by Jay Devore

Notes and Assignments
Exam 4 take home part, due Dec 7.

### Course description:

This course is a basic course in statistics. We will first develop the probability tools we need for the study of statstics and then will study point estimation, hypothesis testing and if time allows, regression analysis.

The grade in the course will be based on four exams, plus class participation and home assignments. To pass the course you need to obtain a total average of 50\% or more, must not fail more than one exam.

It is your responsibility to be aware of the dates of the exams and the content and due date of assignments. If you miss a class, it is your responsibility to be aware of the topics discussed during that class, the assigned homework and the and the possibly given assignment.

There is no reason to miss an exam other than getting sick (bring note from doctor), being on a team that has a game at the same time an exam is given (bring a note from your coach), or a death or serious illness in your family (bring a note from your family). In the event you can not attend an exam, you must notify me in advance, otherwise your grade for that exam will be 0. You can contact me by phone (leave a message if I'm not in), stop by my office (leave a note if I'm not in) or send me an e-mail.

EXAM SCHEDULE:
Exam 1: Sept 21 Chapters: 1, 2, 3
Exam 2: Oct 14 Chapter: 3, 4, 5
Exam 3: Nov 4 Chapters: 6, 7, 8
Exam 4: Dec 2 and 7 Chapters: 8, 9, 12

### Course Assignments

Quiz 1 - Due Tues Sept 7: Problems Chapter 1: #36, 50, 56
Quiz 2 - Due Tues Sept 14: Problems Sec 2.2, #26, Sec 2.3, #30, 40
Quiz 3 - Due Tues Sept 14: Problems Sec 2.4, #48, Sec 2.5, #72, 80, 82
Quiz 4 - Due Thursday Sept 30:
1. Graph the p.m.f of (a) B(10,.2), (b) B(10,.8), (c) B(10,.5), and indicate the mean value in the graph.
2. Graph the p.m.f of a Poisson random variable with parameter $\lambda=2$.

Quiz 5 - Due Thursday Oct 7: Problem Chapter 3: 84, Chapter 4: 6, 15
Exam 2 Take home part Due October 19