|This is a first course on probability and statistics, with a focus on how probability and statistics ideas can be used to make better business decisions. Examples from economics, finance, marketing, politics and sports, etc. are used to illustrate the material covered. Emphasis will be placed on understanding concepts. The topics covered are: (i) basic probability, Bayes rule, and expected value; (ii) probability modeling, estimation, and linear regression; (iii) hypothesis tests, confidence intervals, and bootstrapping.|
|There will be one required text (which is freely available on-line), in addition to the class notes which will be available on the course website.|
|Weekly problem sets, a midterm exam, and a final exam.|
|If you have a weak math background some kind of math review prior to the course is strongly recommended. Students are expected to be proficient with fractions and basic high school algebra including logarithms and exponents.
Description and/or course criteria last updated: 07/16/2013
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