Susan is a sales representative who has a history of making a successful sale from about 90% of her sales contacts. If she makes 12 successful sales this week, Susan will get a bonus. Let n be a random variable representing the number of contacts needed for Susan to get the 12th sale.
(a) Explain why a negative binomial distribution is appropriate for the random variable n.
We have binomial trials for which the probability of success is p = 0.90 and failure is q = 0.10; k is a fixed whole number > 1.We have poisson trials for which the probability of success is p = 0.90 and failure is q = 0.10; k is a fixed whole number ≥1. We have binomial trials for which the probability of success is p = 0.90 and failure is q = 0.10; k is a fixed whole number ≥1.We have binomial trials for which the probability of success is p = 0.10 and failure is q = 0.90; k is a fixed whole number ≥1.
Write out the formula for P(n) in the context of
this application. (Use C(a,b) as the notation for
"a choose b".)
P(n) =
(b) Compute P(n = 12), P(n =
13), and P(n = 14). (Use 4 decimal
places.)
P(12) | |
P(13) | |
P(14) |
(c) What is the probability that Susan will need from 12 to 14
contacts to get the bonus? (Use 4 decimal places.)
(d) What is the probability that Susan will need more than 14
contacts to get the bonus? (Use 4 decimal places.)
(e) What are the expected value μ and standard deviation
σ of the random variable n? (Use 2 decimal
places.)
μ | |
σ |
Interpret these values in the context of this application.
The expected contact in which the eleventh sale occurs is μ, with a standard deviation of σ.The expected contact in which the twelfth sale occurs is μ, with a standard deviation of σ. The expected contact in which the twelfth sale occurs is σ, with a standard deviation of μ.The expected contact in which the thirteenth sale occurs is μ, with a standard deviation of σ.
a)
We have binomial trials for which the probability of success is p = 0.90 and failure is q = 0.10; k is a fixed whole number > 1
P(n) = C(n-1,11)*(0.9)12(0.1)n-12
b)
P(12)=0.2824
P(13)=0.3389
P(14)=0.2203
c)
probability that Susan will need from 12 to 14 contacts to get the bonus :
probability = | P(12<=X<=14)= | 0.8416 |
d )
probability that Susan will need more than 14 contacts to get the bonus =1-0.8416 =0.1584
e)
here mean of distribution=μ=r/p= | 13.33 |
standard deviation σ=√(r(1-p))/p= | 1.22 |
The expected contact in which the twelfth sale occurs is μ, with a standard deviation of σ.
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