Math 222 - Spring 2019

Announcements

Basic Info

Course Description

Statistical methods will review exploratory data analysis and basic inferential statistics. We will then cover linear and multilinear regression, analysis of variance and logistic regression. During the course, students will be expected to use modern statistical software to write detailed analysis of real world statistical data.

Tentative Schedule

The schedule below is tentative, and may be subject to change. Changes will be announced in class, and you are responsible for knowing about any changes even if you miss the class when they are announced.

  Week     Dates     Topic     Projects  
1   Jan 14-18     Introduction to R      
2   Jan 21-25     Exploratory data analysis     Project 1  
3   Jan 28-Feb 1     Probability      
4   Feb 4-8     Random variables, Midterm 1      
5   Feb 11-15     Foundations of inference      
6   Feb 18-22     Inference for numerical data     Project 2  
7   Feb 25-Mar 1     Transformations & bootstrapping, Midterm 2      
8   Mar 4-8     Inference for categorical data     Project 3  
9   Mar 18-22     Chi-squared methods      
10   Mar 25-29     Introduction to linear regression, Midterm 3     Project 4  
11   Apr 1-5     Inference for regression,      
12   Apr 8-12     Multiple & logistic regression     Project 5  
13   Apr 15-19     One-way analysis of variance, Midterm 4      
14   Apr 22-26     Two-way analysis of variance     Project 6  

Attendance Policy

Attendance in this class is required. Repeated absences may result in a forced withdrawal from the course. You are responsible for any material you miss due to absence. Please let me know ahead of time if you know that you will not be able to attend class.

Grading Policy

The term grade will be based on the following factors.

Component     Proportion    
Homework 24%
Midterms 48%
Final Exam 28%

Homework

There will be homework projects due once every other week. These projects will require the use of the R programming language. You may submit homework solutions individually, or if you prefer you may work with a partner and submit your projects together.

Homework solutions will be graded on a holistic 4 point scale, with a 4 roughly corresponding to an A, 3 to a B, 2 to a C, 1 to a D, and 0 to an F.

Here are the criteria that will be used to judge problems.

Midterm Exams

There will be four midterm examinations during the semester. The exams will focus more on the concepts covered in class, than on performing detailed calculations, although some calculations may be required.

Final Exam

There will be a cumulative final exam. It will include questions similar to the ones on the midterms.

Special Accommodations

In compliance with the Hampden-Sydney College policy and equal access laws, I am available to discuss appropriate academic accommodations that may be recommended for students with disabilities. Requests for academic accommodations are to be made at the beginning of the semester (except for unusual circumstances) so that appropriate arrangements can be made. Students are required to contact the Office of Academic Success in order to verify their eligibility for appropriate accommodations.