Math 222 - Spring 2017


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 18 - Jan 20     Intro to R, course overview  
2   Jan 23 - Jan 27     Working with categorical variables     Project 1  
3   Jan 30 - Feb 3     Working with quantitative variables     Project 2  
4   Feb 6 - Feb 10     Nonparametric tests & bootstrapping     Project 3  
5   Feb 13 - Feb 17     Comparing two proportions, Midterm 1  
6   Feb 20 - Feb 24     Permutation tests, relative risk & odds ratios   Project 4
7   Feb 27 - Mar 3     Comparing quantitative data   Project 5
8   Mar 6 - Mar 10     Chi-squared distribution   Project 6
9   Mar 20 - Mar 24     Linear regression, Midterm 2  
10   Mar 27 - Mar 31     Inference for linear regression   Project 7
11   Apr 3 - Apr 7     Multiple regression   Project 8
12   Apr 10 - Apr 14     One-way ANOVA   Project 9
13   Apr 17 - Apr 21     Two-way ANOVA Midterm 3  
14   Apr 24 - Apr 28     Logistic regression   Project 10
15   May 1     Review  

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 50%
Midterms 30%
Final Exam 20%


I will assign homework projects most weeks. These projects will require the use of the R programming language. You are allowed to work together on the homework, but your final submissions must be your own work.

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?