# Joint_Distributions

 What is this called? Random vector(there are three random variables in this random vector) Given the joint distribution, you can find any marginal information that you want T/F True Given marginal information, you cannot calculate the joint unless...? They are independent What are the two most commonly used measures of association between random variables? CovarianceCorrelation What is the covariance computing formula? Why is covariance difficult to interpret compared to correlation? Covariance has units, so interpretation is difficultCorrelation is unitless What is indicated when ? then X and Y are uncorrelated (Not Independent!!!) What is the value of ρ when X and Y are independent? (Alternately, If given rho=0, it translates to X and Y being uncorrelated, not independent!) What is the range of correlation? What does this indicate? an exact linear relationship When it reasonable to use a binomial distribution when a hyper-geometric distribution would normally otherwise be considered? When sample size is small relative to our population size point mass A probability distribution with unity probability mass at one specific outcome, and zero probability mass everywhere else How is 'e' defined? A binomial distribution can be represented by a ___?____ when n is large Poisson Taylor series expansion: Authorsaucyocelot ID363326 Card SetJoint_Distributions DescriptionJoint distributions Updated2023-12-10T18:35:05Z Show Answers