Math 222 - Spring 2018


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     Homework  
1   Jan 15 - Jan 19     Statistical inference, intro to R      
2   Jan 22 - Jan 26     Working with categorical variables     Project 1  
3   Jan 29 - Feb 2     Working with quantitative variables     Project 2  
4   Feb 5 - Feb 9     Nonparametric tests, and bootstrapping     Project 3  
5   Feb 12 - Feb 16     Comparing two proportions, Midterm 1      
6   Feb 19 - Feb 23     Permutation tests, relative risk & odds ratios     Project 4  
7   Feb 26 - Mar 2     Comparing quantitative data     Project 5  
8   Mar 12 - Mar 16     Chi-squared distribution     Project 6  
9   Mar 19 - Mar 23     Linear regression, Midterm 2      
10   Mar 26 - Mar 30     Inference for linear regression     Project 7  
11   Apr 2 - Apr 6     Multiple regression     Project 8  
12   Apr 9 - Apr 13     One-way ANOVA     Project 9  
13   Apr 16 - Apr 20     Two-way ANOVA, Midterm 3      
14   Apr 23 - Apr 27     Logistic regression     Project 10  

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 30%
Midterms 45%
Final Exam 25%


I will assign homework projects most weeks. 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 three 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. How does this look?