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Created by:
Last updated:
December 10, 2022
Duration:
Unlimited Duration
FREE
This course includes:
Unlimited Duration
Badge on Completion
Certificate of completion
Unlimited Duration
Description
This course will provide a solid foundation in probability and statistics for economists and other social scientists.
We will emphasize topics needed for further study of econometrics and provide basic preparation for 14.32 Econometrics. Topics include elements of probability theory, sampling theory, statistical estimation, and hypothesis testing.
Course Curriculum
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- Sets and events Unlimited
- Probabilities and counting rules Unlimited
- Conditional probability and independence Unlimited
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- Bayes theorem and random variables Unlimited
- Discrete and continuous random variables Unlimited
- Probability distribution functions Unlimited
- Joint and marginal distributions Unlimited
- Review Unlimited
- Functions of random variables Unlimited
- Functions of several random variables Unlimited
- Conditional expectations and special distributions Unlimited
- Central limit theorem, estimators, bias, and consistency Unlimited
- Constructing estimators Unlimited
- Hypothesis tests Unlimited
- Hypothesis tests (cont.) Unlimited
- Hypothesis tests (cont.) Unlimited
- Review Unlimited
About the instructor
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5
Instructor Rating
1
Reviews
1520
Courses
1916
Students
Massachusetts Institute of Technology
