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A customer service center receives about ten emails every half-hour. What is the probability that the customer service center receives more than four emails in the next six minutes? Use the TI-83+ or TI-84 calculator to find the answer.

Short Answer

Expert verified

The probability that the customer service center receives more than four emails in next six minutes is0.0526.

Step by step solution

01

Given Information

A customer service center receives about ten emails every half -hours. To determined the probability that the customer service receives more than four emails in the next six minutes.

02

Concept Used

Let X the number of email receives in the next six minutes. Therefore the sample size X takes on the values 0,1,2,3,4,5,6,7,8,9,10

Here X follows a poisson distribution and the probability mass function of poisson distribution of X is written as

P(X=x)=e-μμxx!

According to the question, a customer service center receives about ten emails every half-hour. Therefore in minute the customer service center receives 1030=0.333emails.

Therefore in six minutes average number of email receives is

0.333×6=2

So average of Poisson distribution isμ=2

03

Calculation

Therefore the required probability that the customer service center receives more than four emails in the next six minutes is determined as:

P(x>4)=1P(x4)=1[P(x=0)+P(x=1)+P(x=2)+P(x=3)+P(x=4)]=0.0526

Step in TI-83 + calculator as follows:

- Press 1 -and then press 2ndDISTR

- Arrow down to poissoncdf. Press ENTER

- Enter localid="1649535297699" (2.0,4)

- The result shows

P(x>4)=0.0526

04

Conclusion

Therefore the required probability that the customer service center receives more than four emails in the next six minutes is 0.0526.

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Most popular questions from this chapter

Use the following information to answer the next five exercises: Suppose that a group of statistics students is divided into two groups: business majors and non-business majors. There are 16business majors in the group and seven non-business majors in the group. A random sample of nine students is taken. We are interested in the number of business majors in the sample.

X~_____(_____,_____)

In one of its Spring catalogs, L.L. Bean® advertised footwear on 29 of its 192 catalog pages. Suppose we randomly survey 20 pages. We are interested in the number of pages that advertise footwear. Each page may be picked more than once.

a. In words, define the random variable X.

b. List the values that X may take on.

c. Give the distribution of X. X ~ _____(_____,_____)

d. How many pages do you expect to advertise footwear on them?

e. Is it probable that all twenty will advertise footwear on them? Why or why not?

f. What is the probability that fewer than ten will advertise footwear on them?

g. Reminder: A page may be picked more than once. We are interested in the number of pages that we must randomly survey until we find one that has footwear advertised on it. Define the random variable X and give its distribution.

h. What is the probability that you only need to survey at most three pages in order to find one that advertises footwear on it?

i. How many pages do you expect to need to survey in order to find one that advertises footwear?

What values does X take on?

Suppose that about 85% of graduating students attend their graduation. A group of 22 graduating students is randomly chosen.

a. In words, define the random variable X.

b. List the values that X may take on.

c. Give the distribution of X. X ~ _____(_____,_____)

d. How many are expected to attend their graduation?

e. Find the probability that 17 or 18 attend.

f. Based on numerical values, would you be surprised if all 22 attended graduation? Justify your answer numerically

Define the random variable X.

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