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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

    • Sets and events Unlimited
    • Probabilities and counting rules Unlimited
    • Conditional probability and independence Unlimited
    • 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
    • Order statistics and expectations Unlimited
    • Median, quantiles, and variance Unlimited
    • Covariance and conditional expectations Unlimited
    • Conditional expectations and special distributions Unlimited
    • Law of large numbers Unlimited
    • Review Unlimited
    • Central limit theorem, estimators, bias, and consistency Unlimited
    • Constructing estimators Unlimited
    • Confidence intervals Unlimited
    • Confidence intervals (cont.) Unlimited
    • Hypothesis tests Unlimited
    • Hypothesis tests (cont.) Unlimited
    • Hypothesis tests (cont.) Unlimited
    • Review Unlimited

About the instructor

5 5

Instructor Rating

1

Reviews

1520

Courses

1915

Students

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Massachusetts Institute of Technology