STAT 401E  Homepage
Lab assignments
Lecture notes

Instructor: Carl W. Roberts

Classes meet:  Monday, Wednesday, and Friday  11:00-11:50 a.m.

    1126 Sweeney Hall

Monday (Lab)  2:10-4:00 p.m.

    205 Carver Hall

 What it's about:

This is a graduate-level introductory statistics course that emphasizes how to interpret and calculate basic statistics such as mean, median, mode, variance, interquartile range, correlation coefficient, etc.  Students should leave the course knowing the distinction between estimation and inference, and being able to test hypotheses applied to both discrete and continuous data.  They should also have a basic understanding of regression analysis and analysis of covariance.
Required texts:
There are none.  All readings for the course will be available from the web page accessed via the above "Lecture notes" link.  Notes will be posted at this site at least one week prior to the class in which they form the basis of lecture.  Students are requested to study these lecture notes prior to the classes they are lectured on.  This will allow us to move through the material quickly, and to spend as much time as possible getting questions answered and working through applied problems.
Computer requirements:
Homework problems may be solved using any statistical software that the student chooses to use.  However, the instructor and TA will only provide trouble-shooting support for SPSS, SAS, and R.  SPSS programs will be provided in the text of lab assignments (starting with Lab 5), as will links to parallel SAS and R programs.  During lectures program illustrations will be exclusively in SPSS, not in SAS or R.  Beyond this, support for all three programs will be provided during lab periods and office hours.  Students can locate personal computers (sometimes with indications of SPSS, SAS, and R availability) by checking for where many public use computers can be found around campus.  A short SPSS User's Guide is available via a link in this sentence.  A brief introduction to R (401rhandout1.pdf) and a 4-page summary of commands (R-refcard.pdf) are available via their associated links in parentheses within this sentence.  In addition to a 2-page "getting started" guide to SAS (getting started with SAS.pdf), an online SAS tutorial can be found at

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