Flashcards
Applied Statistics - Chapter 3: Probability Distribution Functions
Cards in this deck (17)
- 1How does pdf table looks like?
- 2What are the two properties that all pdf tables must justify?
- 3What is the formula for the expected value of a discrete random variable?
- 4What is the formula for the variance of a discrete random variable?
- 5What is the formula for the expected values of the sum and difference of two random variables?
- 6What is the formula for the variance of the sum and difference of two random variables?
- 7What is the formula for the variance of the sum and difference of two random variables, if they are independent?
- 8What is the formula for the rate of return of Bivariate Distribution?
- 9What is the formula for the variance for a Bivariate Distribution?
- 10When do we use the Bernoulli Distribution formula?If and only if
the random variable can only take on two values (either in a “success” or a “failure”) - 11What are the formulas for the Bernoulli Distribution?
- 12When do we use the formula for the Binomial Distribution?If a Bernoulli is repeated many times (say n times). With each repeat test (called a trial), the probability of a success is the same
- 13What are the formulas for the Binomial Distribution?
- 14What are the formulas for the Uniform Distribution?
- 15How do we use the Uniform Distribution?
- 16How is a Normal Distribution defined?
- 17What is the formula for the standard normal distribution?
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- College Economics Flashcards on Applied Statistics - Chapter 3: Probability Distribution Functions, created by Lucas Freires on 01/05/2024.
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- Lucas Freires
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