Professor Bradley A. Hartlaub
Office 305 Rutherford B. Hayes Hall
Phone 740-427-5405
e-mail hartlaub@kenyon.edu
Office Hours

• 9:00 - 10:00 on Monday, Wednesday, and Friday
• 9:00 - 11:00 on Tuesday
• Additional appointments are available, please don't hesitate to contact me to set up a convenient meeting time.
• OFFICE HOURS WILL NOW BE HELD WITH ZOOM SESSIONS. SEE MY GOOGLE CALENDAR TO MAKE AN APPOINTMENT.

Required Text

Wackerly, D. D., Mendenhall, W., Scheaffer, R.L. (2008), Mathematical Statistics with Applications, 7th Edition, Belmont, CA: Brooks/Cole, Cengage Learning, Inc. (You may also use the 6th edition.)

Chihara, L., and Hesterberg, T. (2018), Mathematical Statistics with Resampling and R, 2nd Edition, NJ: John Wiley & Sons, Inc.

Title IX Reponsibilities

Kenyon College seeks to provide an environment that is free of bias, discrimination, and harassment. If you have been the victim of sexual harassment/misconduct/assualt we encourage you to report this. If you report this to a faculty member, she or he must notify the Title IX coordinator about the basic facts of the incident (you may choose whether you or anyone involved is identified by name). For more information about your options at Kenyon College, please go to https://www.kenyon.edu/directories/offices-services/ocr/title-ix-vawa/

Learning Disabilities and Math Anxieties

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 Student Accessibility and Support Services (SASS) at 740-427-5453 or via e-mail at salvae@kenyon.edu.

Statistical Package and Computing

The R statistical software package will be used throughout the course. Assignments and course announcements will be sent to you via e-mail or posted on the course web page. Data sets and Excel worksheets (csv files) will be placed in P:\Data\Math\Hartlaub\MathStats. Proper maintenance of computer accounts, files, etc. is your responsibility. I recommend that you back up your data sets, worksheets, and R scripts on a regular basis. I will not assume you have prior experience with statistical software so you do not need to be concerned about the use of technology in the classroom. R is free and you may download and use it on your own personal machine.

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 solutions will be submitted electronically through Google Drive. I will be grading the homework assignments. All solutions that you submit must be legible with problem numbers 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 that are collectede. For more infomation, see the departmental guidelines for collaboration on homework, which I expect you to follow.

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 assignment on the due date, you must contact me before class. If you are unable to contact me, you can leave a message at 740-427-5405 or send e-mail to HARTLAUB.

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.

Exams

Exam 1 - Friday, February 28

Exam 2 - Friday, April 17

Comprehensive Final Exam - Wednesday, May 6 from 6:30 until 9:30 - there may be a take-home component to the exam.

EXAM 2 AND THE FINAL EXAM ARE CANCELLED

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, Projects, and Class Participation

Exam 1

Exam 2

Final Exam

Class participation will be used to help make borderline decisions.

NEW GRADING SYSTEM AFTER SPRING BREAK AND CORONAVIRUS DISRUPTION

• HOMEWORK ASSIGNMENTS
• PROBLEM SESSIONS, PROJECTS, AND PARTICIPATION IN ZOOM SESSIONS
• EXAM 1
• FINAL PROJECT (TECHNICAL PAPER, 12 to 15 PAGES)

SEE OUR COURSE WEB PAGE FOR DAILY AGENDAS AND ASSIGNMENTS.

Chapter 6 (Review) Functions of Random Variables

Chapter 7 (Review) 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