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In this class, students will learn the fundamentals of statistical inference. Students will receive a broad overview of the goals, assumptions and modes of performing statistical inference. Students will be able to perform inferential tasks in highly targeted settings and will be able to use the skills developed as a roadmap for more complex inferential challenges.

FREE
This course includes
Hours of videos

12 hours, 10 minutes

Units & Quizzes

12

Unlimited Lifetime access
Access on mobile app
Certificate of Completion

Schedule

The course is taught via 13 lectures
    1. Introduction
    2. Probability
    3. Conditional Probability
    4. Expectations
    5. Variance
    6. Common Distributions
    7. Asymptotics
    8. T confidence intervals
    9. Hypothesis testing
    10. P-values
    11. Power
    12. Multiple Testing
    13. Resampling

Course Currilcum

    • Introduction to Inference and Motivating Examples 01:00:00
    • Probability 01:00:00
    • Conditional Probability 01:00:00
    • Expectations 01:00:00
    • Variability 01:00:00
    • Common Distributions 01:00:00
    • Asymptotics 01:00:00
    • T Confidence Intervals 01:00:00
    • p-Values 01:00:00
    • Power 01:05:00
    • Multiple Comparisons 01:05:00
    • Resampling 01:00:00