The difference between the plot of a Binomial pmf f(x) and the plot of a Poisson pmf g(x) is that:
As x goes to infinity, f(x) goes to infinity while g(x) goes to 0.
B
As x goes to infinity, f(x) increases while g(x) decreases.
C
f(x) is defined only for the integers from 0 to n, while g(x) is defined for all integers greater or equal to 0.
D
Both increase, reach a max and then decrease, but f(x) is decreasing more rapidly as x goes to infinity than g(x)
The image of a Poisson random variable is:
B
{0,1,2,...}
C
{1,2,3,...}
D
{1,2,3,...,n}
The Poisson random variable counts:
A
The number of successes in n Bernoulli trials of the same parameter p.
B
The number of Bernoulli trials of the same parameter p until the first success.
C
The number of successes in a huge number of trials of extremely small probability of success each of them.
The difference between the plot of a Binomial pmf f(x) and the plot of a Poisson pmf g(x) is that:
C. f(x) is defined only for the integers from 0 to n, while g(x) is defined for all integers greater or equal to 0.
The image of a Poisson random variable is:
B. {0,1,2,...}
The Poisson random variable counts:
C. The number of successes in a huge number of trials of extremely small probability of success each of them.
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