stats unit quiz6
Covariance and correlation between two variables are reported in the same units. T/F
False
The expected value of a discrete probability distribution must be a value the random variable can assume. T/F
False
If each individual variance of two variables is known and the variance of their sum is also known, it is easy to calculate the covariance between the two variables T/F
True
It is possible for a discrete random variable to assume either a finite number of values or an infinite sequence of values. T/F
True
The hypergeometric probability distribution is closely related to the binomial distribution except that the trials are not independent and the probability of success changes from trial to trial. T/F
True
Which distribution involves two random variables that may or may not have a numerical relationship with each other? the discrete - uniform distribution a bivariate discrete distribution the Poisson distribution the binomial distribution
a bivariate discrete distribution
A required condition for a discrete probability function is: every possible outcome must be a well defined number. the probability of any outcome must be greater than or equal to zero. the probabilities of all possible outcomes must sum to one. all of the above
all of the above
The variable in which probability distribution is often useful in estimating the number of occurrences over a specified interval of time or space? the discrete - uniform distribution the binomial distribution the Poisson distribution a bivariate discrete distribution
the Poisson distribution
Which distribution is used to calculate the probability of a given number of successes for a set number of trials where the only two options are success and failure? the discrete - uniform distribution a bivariate discrete distribution the Poisson distribution the binomial distribution
the binomial distribution
Which distribution always has the same probability for all possible outcomes? the discrete - uniform distribution a bivariate discrete distribution the Poisson distribution the binomial distribution
the discrete - uniform distribution