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This course is a self-contained introduction to statistics with economic applications.
0
English
English [CC]
FREE
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Description
Elements of probability theory, sampling theory, statistical estimation, regression analysis, and hypothesis testing. It uses elementary econometrics and other applications of statistical tools to economic data. It also provides a solid foundation in probability and statistics for economists and other social scientists. We will emphasize topics needed in the further study of econometrics and provide basic preparation for 14.32 Econometrics. No prior preparation in probability and statistics is required, but familiarity with basic algebra and calculus is assumed.
Course content
- Set and Probability Theory Unlimited
- Random Variables Unlimited
- Multiple Random Variables Unlimited
- Expectation (Moments) Unlimited
- Random Variable and Random Vector Transformations (Univariate and Multivariate Models) Unlimited
- Special Distributions (Discrete and Continuous) Unlimited
- Graph Representation: Special Distributions Unlimited
- Random Sample, Law of Large Numbers, Central Limit Theorem Unlimited
- Simulations: Magnifying Glass Unlimited
- Point Estimators and Point Estimation Methods Unlimited
- An Overview Unlimited
- Interval Estimation and Confidence Intervals Unlimited
- t-Student versus Standard Normal: A Graphical View Unlimited
- Hypothesis Testing Unlimited
- An Applied Review Unlimited
Instructor
Massachusetts Institute of Technology
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1916
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