3.1 - Population vs Sample

A1) Mutually Exclusive vs Independent Events

A2) Conditional Probability Formula for Independent Events

A3) Law of Large Numbers (LLN)

A4) If you test positive for cancer, what is the probability that you in fact has cancer?

A5) Are Disjoint Events Independent?

B1) What is a Random Variable?

B2) Expected Value of a Random Variable

B3) Random Variable: Variance and Standard Deviation

B4) Prove that E(cX) = cE(X)

B5) Prove that Var(cX)=ccVar(X)

B6) Var(X)=E(X^2)-[E(X)]^2

B7) Bernoulli Random Variable

C1) Random Variables: Mean and Standard Deviation

C2) Covariance vs Variance

C3) Correlation vs Covariance

D1) Standard Normal Distribution

D2) What is z-score?

D3) What means independent and identically distributed (iid)?

E1) Population Parameter vs Sample Statistic

E2) Standard Error of the Mean

F1) 95% Confidence Interval for Proportion (p)

F2) Normal vs Student’s t-distribution

G1) Null vs Alternative Hypothesis

G2) Type I vs Type II Errors

H1) Randomized Experiment

H2) Two-Sample t-Test in Python

[zettlerquinn]

Very straight forward and to the point. You kept your information clear and easy to follow and understand. Good Job!

[charliefeldner]

Really interactive video, great organization of information

[alexiscopeland]

Very good examples in helping to review and great graphics

[BubbleFaNtAsY]

My favorite element of this video was the example. After hearing the definitions and differentiations between population and sample, it was great to visualize the concepts described.

[abigailfox]

The graphics in this video were great and kept the video engaging! The language was also very clear and easy to understand.

[graciecurran]

Fun drawings! It made the video really enjoyable, thanks for explaining the difference between population and sample!