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B6) Var(X)=E(X^2)-[E(X)]^2
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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
C4) Cov(X,Y)=E(XY)-E(X)E(Y)
C5) If X and Y are independent, then Cov(X,Y)=0
C6) Var(X+Y)=Var(X)+Var(Y)+2Cov(X,Y)
D1) Standard Normal Distribution
D2) What is z-score?
D3) What means independent and identically distributed (iid)?
D4) Central Limit Theorem (CLT)
E1) Population Parameter vs Sample Statistic
E2) Standard Error of the Mean
E3) Random Sample
E4) Unbiased Estimator
F1) 95% Confidence Interval for Proportion (p)
F2) Normal vs Student’s t-distribution
F3) Confidence Interval for a Population Mean
F4) Margin of Error
G1) Null vs Alternative Hypothesis
G2) Type I vs Type II Errors
G3) Z-test for a Proportion
G4) T-test for the Mean
H1) Randomized Experiment
H2) Two-Sample t-Test in Python
H3) Two-Sample z-Test in Python
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
C4) Cov(X,Y)=E(XY)-E(X)E(Y)
C5) If X and Y are independent, then Cov(X,Y)=0
C6) Var(X+Y)=Var(X)+Var(Y)+2Cov(X,Y)
D1) Standard Normal Distribution
D2) What is z-score?
D3) What means independent and identically distributed (iid)?
D4) Central Limit Theorem (CLT)
E1) Population Parameter vs Sample Statistic
E2) Standard Error of the Mean
E3) Random Sample
E4) Unbiased Estimator
F1) 95% Confidence Interval for Proportion (p)
F2) Normal vs Student’s t-distribution
F3) Confidence Interval for a Population Mean
F4) Margin of Error
G1) Null vs Alternative Hypothesis
G2) Type I vs Type II Errors
G3) Z-test for a Proportion
G4) T-test for the Mean
H1) Randomized Experiment
H2) Two-Sample t-Test in Python
H3) Two-Sample z-Test in Python
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