18.443 -- Statistics for Applications
Course Description: A broad treatment of statistics, concentrating on specific statistical techniques used in science and industry. Topics: hypothesis testing and estimation. Confidence intervals, chi-square tests, nonparametric statistics, analysis of variance, regression, correlation, decision theory, and Bayesian statistics.

This class is at the Undergraduate level
Course Website: http://math.mit.edu/%7Epanchenk/class443/class18_443.html
Instructor: R. M. Dudley
Prerequisites: 18.440 or 6.041

Insider's Wisdom

18.443 is an introduction to statistics, assuming no previous knowledge of statistics, but it does assume a good introduction to probability such as 18.440, which in turn has a prereq of multivariate calculus. Students in the course are mainly undergraduates, but graduate students not in mathematics can get graduate credit for the course and some do take it.

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