Statistics with Applications in the Natural and Social Sciences
09/08/2008 - 12/12/2008
Monday 05:30 PM - 08:00 PM
Science Tower 137
This course will provide an overview of elementary statistical methods and models currently used to help answer questions in the natural and social sciences. Proper applications of statistical techniques, as well as some mis-applications of those techniques, will be introduced as the course develops.
Topics include descriptive and inferential statistics, measures of central tendency and dispersion, probability and probability distributions, sampling distributions and selection of sample size, hypothesis testing, confidence intervals, linear correlation and regression, multiple regression, and the chi square distribution.
Some of the topics mentioned above will be explored with the aid of statistical programs on the computer.
There are no formal prerequisites, except that the student should have reasonably adequate quantitative skills.
A syllabus for this course is available at:
James Frugale (B.S., Central Connecticut State University; M.A.L.S., Wesleyan University) is visiting assistant professor of mathematics. Click here for more information about James Frugale.
Consent of Instructor Required: No
|Level: GLSP||Credits: 3||Enrollment Limit: 18|
Texts to purchase for this course:
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