Given the MGF of random variable X is M(t) = Select all that apply. There may be more than one correct answer. A. bernoulli(p = 0.8) B. negative binomial(n = 1, p = 0.2) OC. bernoulli(p = 0.2) OD. geometric(p = 0.8) OE. negative binomial(n = 1, p = 0.8) OE binomial(n = 1, p = 0.8) 0.8et 1-0.2et provide the name of the distribution of X, as well as its parameters. OG. geometric(p = 0.2) OH. binomial(n = 1, p = 0.2) OI. None of the above

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0.8et
1 -0.2et
Select all that apply. There may be more than one correct answer.
Given the MGF of random variable X is M(t) =
=
A. bernoulli(p = 0.8)
B. negative binomial(n = 1, p = 0.2)
OC. bernoulli(p = 0.2)
OD. geometric(p = 0.8)
OE. negative binomial(n = 1, p = 0.8)
OF. binomial(n = 1, p = 0.8)
OG. geometric(p = 0.2)
OH. binomial(n = 1, p = 0.2)
OI. None of the above
provide the name of the distribution of X, as well as its parameters.
Transcribed Image Text:0.8et 1 -0.2et Select all that apply. There may be more than one correct answer. Given the MGF of random variable X is M(t) = = A. bernoulli(p = 0.8) B. negative binomial(n = 1, p = 0.2) OC. bernoulli(p = 0.2) OD. geometric(p = 0.8) OE. negative binomial(n = 1, p = 0.8) OF. binomial(n = 1, p = 0.8) OG. geometric(p = 0.2) OH. binomial(n = 1, p = 0.2) OI. None of the above provide the name of the distribution of X, as well as its parameters.
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