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T/F: Discrete random variables take on values across a
continuum. - ✔✔FALSE
T/F: The sum of all of the probabilities in a probability mass
function equals unity. - ✔✔TRUE
T/F: A probability mass function, f(x), is a non-decreasing function
of x. - ✔✔FALSE
T/F: The cumulative distribution function, F(x), of a discrete
random variable is the sum of all of the probabilities that are less
than or equal to x, where x is a specific value of the discrete
random variable, X. - ✔✔TRUE
T/F: A cumulative distribution function can be used to find the
probability mass function of a discrete random variable. -
✔✔TRUE
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, T/F: If a random variable, X, has only integer values, then the
mean, E(X), will always be an integer. - ✔✔FALSE
Discrete Uniform Distribution - ✔✔A random variable X has a
discrete uniform distribution if each of the n values in its range,
x1, x2,..., xn, has equal probability.
How many numerical values can a Binomial random variable, X,
have? - ✔✔n+1
T/F: A Bernoulli trial is a random experiment with only two
outcomes, success and failure. - ✔✔TRUE
The binomial distribution arises from a series of Bernoulli trials. -
✔✔TRUE
Bernoulli - ✔✔2 possible outcomes - fail or success
Binomial - ✔✔n independent bernoulli trials
geometric - ✔✔until 1st success
poisson - ✔✔rare events
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