A call center data set shows that in a sample of 50 individuals, 19 had prior call center experience. If we assume that the probability that any potential hire will also have experience with a probability of 19/50, what is the probability that among ten potential hires, more than half of them will have experience? Define the parameter(s) for this distribution based on the data. ... Define the parameters for this distribution based on the data. Define a success as a new hire having experience. When defining the number of successes, consider what value is necessary if one is going to find the area to the left of that value. Select the correct choice below and fill in the answer box(es) to complete your choice. OA. This distribution is a Bernoulli distribution with parameter p = (Simplify your answer.) B. This distribution is a binomial distribution with parameters n = 10 and p = 0.38 (Simplify your answers.) OC. This distribution is a Poisson distribution with parameter λ = (Simplify your answer.) The probability that among ten potential hires, more than half of them will have experience is (Round to three decimal places as needed.)

Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter12: Probability
Section12.3: Conditional Probability; Independent Events; Bayes' Theorem
Problem 64E
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A call center data set shows that in a sample of 50 individuals, 19 had prior call center experience. If we assume that
the probability that any potential hire will also have experience with a probability of 19/50, what is the probability that
among ten potential hires, more than half of them will have experience? Define the parameter(s) for this distribution
based on the data.
Define the parameters for this distribution based on the data. Define a success as a new hire having experience.
When defining the number of successes, consider what value is necessary if one is going to find the area to the left of
that value. Select the correct choice below and fill in the answer box(es) to complete your choice.
A. This distribution is a Bernoulli distribution with parameter p=
(Simplify your answer.)
B. This distribution is a binomial distribution with parameters n = 10 and p = 0.38
(Simplify your answers.)
0 S
OC. This distribution is a Poisson distribution with parameter λ =
(Simplify your answer.)
The probability that among ten potential hires, more than half of them will have experience is
(Round to three decimal places as needed.)
Transcribed Image Text:A call center data set shows that in a sample of 50 individuals, 19 had prior call center experience. If we assume that the probability that any potential hire will also have experience with a probability of 19/50, what is the probability that among ten potential hires, more than half of them will have experience? Define the parameter(s) for this distribution based on the data. Define the parameters for this distribution based on the data. Define a success as a new hire having experience. When defining the number of successes, consider what value is necessary if one is going to find the area to the left of that value. Select the correct choice below and fill in the answer box(es) to complete your choice. A. This distribution is a Bernoulli distribution with parameter p= (Simplify your answer.) B. This distribution is a binomial distribution with parameters n = 10 and p = 0.38 (Simplify your answers.) 0 S OC. This distribution is a Poisson distribution with parameter λ = (Simplify your answer.) The probability that among ten potential hires, more than half of them will have experience is (Round to three decimal places as needed.)
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