Topic 2 - Probability Theory, Distributions, Inference
Lectures
Lecture 4: Sample Spaces and Counting
Lecture 5: Expectations / Variances / Discrete Distributions
Lecture 6: Continuous Distributions
Lecture 7: Central Limit Theorem and Sampling Distribution
Lecture 8: Confidence Intervals and Hypothesis Tests
Lecture 9: Classical Test Statistics
Lecture 10: Numerical Inference
Labs
Lab 4: Sample Spaces and Counting
Lab 5: Playing With (Mostly) Discrete Distributions
Lab 6: Earthquakes, Volcanoes and the Central Limit Theorem
Lab 7: Tacks and Tests - Z, F, and T
Lecture 7: Central Limit Theorem and Sampling Distributions
BIOL709 / Winter 2018
(
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)
I. Central Limit Theorem
Coin flips
Free throws
Binomial looks normal?
Other distributions
CLT Version 1 (of sums)
CLT Version 2 (of sample means)
II. Sampling Distributions
Definitions
Estimating the Mean
Estimating the variance
Shaq demonstrates these principles