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Statistics for Applications (MIT 18.650)

Course

by MIT OpenCourseWare

Tags
estimationmathematicsstatistical inference

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Build the foundations

Suggested foundations for probability and statistical reasoning. Specialist prerequisites vary by resource.

Before you read

  1. Random Variables and Distributions

    Read the distributions and expectations used in probabilistic arguments.

  2. Conditional Expectation

    Interpret expectations after information is observed.

Go further

  1. Confidence Intervals and Hypothesis Testing

    Assess uncertainty rather than treating an estimate as a fact.

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Lesson links open public previews. Access to full lessons depends on the topic and your membership.

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