Mathematical Statistics

MATH 436

Spring 20010

Professor Bradley A. Hartlaub
Office 305 Rutherford B. Hayes Hall
Phone PBX 5405
e-mail hartlaub@kenyon.edu
Office Hours

Required Text

Wackerly, D. D., Mendenhall, W., Scheaffer, R.L. (2008), Mathematical Statistics with Applications, 7th Edition, Belmont, CA: Brooks/Cole, Cengage Learning, Inc.

Learning Disabilities

If you have a disability and feel that you may have need for some type of academic accomotation(s) in order to participate fully in this class, please feel free to discuss your concerns with me in private and also self identify yourself to Erin Salva, Coordinator of Disability Services at PBX 5453 or via e-mail at salvae@kenyon.edu.

Homework & Labs

Homework and lab assignments will be given weekly throughout the semester. You should work on as many problems as possible. This includes problems which have not been assigned. Your papers will be collected and graded frequently. All papers that you turn in must be legible with problem numbers and solutions clearly marked. I encourage you to discuss the concepts and problem solving techniques presented in class with other students. However, you must submit your own solution for each of the assigned problems to be collected.
Late Policy
Homework assignments must be turned in at the beginning of the class period on the assigned due date. No credit will be given for late papers. If for any reason you cannot turn in your paper on the assigned date, you must contact me before class. If you are unable to contact me, you can leave a message with Connie Miller (the Administrative Assistant in RBH) or send e-mail to HARTLAUB.
Problem Sessions

During the semester we will have weekly problem sessions which will be conducted by you (the students). These sessions are designed to improve your understanding of statistical concepts and enhance your mathematical maturity by requiring a clear, detailed presentation of the material to your peers. During these sessions, you will be responsible for solving an assigned problem and presenting the solution to the rest of the class. Answering all questions about your solution is a required part of the presentation. Being able to solve problems and being able to present the solutions to a group in a logical and coherent fashion are two different tasks. Our goal is to master both tasks.

Final Project

An oral presentation describing a statistical technique which has not been discussed in class. The presentation must contain a thorough explanation of the technique and at least one example which demonstrates how to apply the technique. A written summary of this technique must be submitted within 48 hours of your presentation. More details will be provided during the semester.

Exams
  • Exam 1 - Friday, March 5
  • Exam 2 - Friday, April 30
  • Final Project Presentations - May 3, May 5, and May 7
  • Grades
    Your course grade will be based on your overall percentage. The categories used to determine your overall percentage are listed below. The categories will be weighted equally.
  • Homework Assignments
  • Problem Sessions and Class Participation
  • Exam 1
  • Exam 2
  • Final Project
  • Class participation will be used to help make borderline decisions.
    Course Outline
  • Chapter 6 (Review) Functions of Random Variables
  • Chapter 7 Sampling Distributions and the Central Limit Theorem
  • Chapter 8 Estimation
  • Chapter 9 Properties of Point Estimators and Methods of Estimation
  • Chapter 10 Hypothesis Testing
  • Chapter 11 Linear Models and Estimation by Least Squares
  • Chapter 12 Considerations in Designing Experiments
  • Chapter 13 The Analysis of Variance
  • Chapter 14 Analysis of Categorical Data