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> 3.3.1 Independent Random Variables > Flashcards
3.3.1 Independent Random Variables Flashcards
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(43 decks)
1.1.1 Set Theory
1.1.2 Probability Theory
1.2.1 Conditional Probability
1.2.2 Independence
1.3.1 Bayes' Theorem
1.4.1 Sampling without Replacement
1.4.2 Sampling with Replacement
1.4.3 Calculating Combinatorial Probabilities
2.1.0 Whats are Random Variables?
2.1.1 Probability Functions (PMFs and PDFs)
2.1.2 Cumulative Distribution Functions (CDFs)
2.1.3 Survival Functions
2.1.4 Mixed Distributions
2.1.5 Hazard Rate Functions
2.2.1 Expected Value
2.2.2 Conditional Expectation
2.2.3 Survival Function Method
2.2.4 Variance
2.2.5 Coefficient of Variation
2.3.1 Percentiles and Median
2.3.2 Mode
2.3.3 Skewness and Kurtosis
2.4.1 Discrete Uniform
2.5.1 Bernoulli
2.5.2 Binomial
2.6.1 Hypergeometric
2.7.1 Geometric
2.8.1 Negative Binomial
2.9.1 Poisson
2.10.1 Continuous Uniform
2.11.1 Exponential
2.12.1 Gamma
2.13.1 Normal
2.14.1 Lognormal
2.15.1 Beta
2.16.1 Shifting and Scaling
3.1.1 Joint Probability Mass Functions
3.1.2 Joint Cumulative Distribution Functions
3.1.3 Marginal Distributions
3.1.4 Joint Moments
3.2.1 Conditional Distributions
3.2.2 Weighted Average, Double Expectation, and the Law of Total Variance
3.3.1 Independent Random Variables
