12.2 - Type I Error vs Type II Error
A1) Mutually Exclusive vs Independent Events
• A1) Mutually Exclusive vs Independent Events
A2) Conditional Probability Formula for Independent Events
• A2) Conditional Probability Formula for In...
A3) Law of Large Numbers (LLN)
• A3) Law of Large Numbers (LLN)
A4) If you test positive for cancer, what is the probability that you in fact has cancer?
• A4) If you test positive for cancer, what ...
A5) Are Disjoint Events Independent?
• A5) Are Disjoint Events Independent?
B1) What is a Random Variable?
• B1) What is a Random Variable?
B2) Expected Value of a Random Variable
• B2) Expected Value of a Random Variable
B3) Random Variable: Variance and Standard Deviation
• B3) Random Variable: Variance and Standard...
B4) Prove that E(cX) = cE(X)
• B4) Prove that E(cX) = cE(X)
B5) Prove that Var(cX)=ccVar(X)
• B5) Prove that Var(cX)=ccVar(X)
B6) Var(X)=E(X^2)-[E(X)]^2
• B6) Var(X)=E(X^2)-[E(X)]^2
B7) Bernoulli Random Variable
• B7) Bernoulli Random Variable
C1) Random Variables: Mean and Standard Deviation
• C1) Random Variables: Mean and Standard De...
C2) Covariance vs Variance
• C2) Covariance vs Variance
C3) Correlation vs Covariance
• C3) Correlation vs Covariance
D1) Standard Normal Distribution
• D1) Standard Normal Distribution
D2) What is z-score?
• D2) What is z-score?
D3) What means independent and identically distributed (iid)?
• D3) What means independent and identically...
E1) Population Parameter vs Sample Statistic
• E1) Population Parameter vs Sample Statistic
E2) Standard Error of the Mean
• E2) Standard Error of the Mean
F1) 95% Confidence Interval for Proportion (p)
• F1) 95% Confidence Interval for Proportion...
F2) Normal vs Student’s t-distribution
• F2) Normal vs Student’s t-distribution
G1) Null vs Alternative Hypothesis
• G1) Null vs Alternative Hypothesis
G2) Type I vs Type II Errors
• G2) Type I vs Type II Errors
H1) Randomized Experiment
• H1) Randomized Experiment
H2) Two-Sample t-Test in Python
• H2) Two-Sample t-Test in Python