A call center data set shows that in a sample of 30 ​individuals, 7 had prior call center experience. If we assume that the probability that any potential hire will also have experience with a probability of 7​/30​, 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,

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.
Chapter13: Probability And Calculus
Section13.CR: Chapter 13 Review
Problem 9CR
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A call center data set shows that in a sample of 30 ​individuals, 7 had prior call center experience. If we assume that the probability that any potential hire will also have experience with a probability of 7​/30​, 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 binomial distribution with parameters n =
and p =
(Simplify your answers.)
B. This distribution is a Bernoulli distribution with parameter p =
(Simplify your answer.)
C. This distribution is a Poisson distribution with parameter 2 =
(Simplify your answer.)
Transcribed Image Text:A. This distribution is a binomial distribution with parameters n = and p = (Simplify your answers.) B. This distribution is a Bernoulli distribution with parameter p = (Simplify your answer.) C. This distribution is a Poisson distribution with parameter 2 = (Simplify your answer.)
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