SunyStats 7: Continuous random variables, sampling distributions, relationships and inference.
2nd lecture on continuous random variables:
1:00: Discrete/Continuous Analogs (Uniform/Uniform & Geometric/Exponential)
2:30: The Journey and the Destination (Central Limit Theorem & LLN)
5:00: Lognormal Random Variable
7:00: Introduction to inference with sampled parameters
Generation and explanation of sampling distributions
13:30: Chi Squared Random Variable
14:30: T-distributed Random Variable
15:45: Cauchy distributed Random Variable
16:30: F-distributed Random Variable
17:00: Recap
18:00: Final description of the world of random variables