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An insurance company claims that in the entire population of homeowners, the mean annual loss from fire is and the standard deviation of the loss is σ=\(5000.The distribution of losses is strongly right-skewed: many policies have \)0loss, but a few have large losses. The company hopes to sell 1000 of these policies for \(300each.

a. Assuming that the company’s claim is true, what is the probability that the mean loss from fire is greater than \)300for an SRS of 1000 homeowners?

b. If the company wants to be 90% certain that the mean loss from fire in an SRS of 1000 homeowners is less than the amount it charges for the policy, how much should the company charge?

Short Answer

Expert verified

a. The resultant probability is37.45%

b. The charges should be made by the company is$452.39

Step by step solution

01

Part (a) Step 1: Given Information 

The mean is μ=250and standard deviation is σ=5000

The number of homeowners is n=1000

The sample mean x¯=300

The following concept was used:

z=x−μx¯σx¯

02

Part (a) Step 2: Calculations 

The sampling distribution of the sample mean x¯is also normal because the population distribution is normal.

The Z-score is

z=x-μx¯σx¯=x¯-μσ/n=300-25050001000=0.32

Using the normal probability, the associating probability is calculated.

P(Z<0.32)s typical normal probability table in the appendix has a row beginning with 0.3 and a column beginning with 0.2.

P(X¯≥300)=P(Z>0.32)=1-P(Z<0.32)=1-0.6255=0.3745=37.45%

03

Part (b) Step 1: Given Information

The mean is μ=250and standard deviation is σ=5000

The number of homeowners is n=1000

P(X¯≤x¯)=90%

The following concept was used:

z=x−μx¯σx¯

04

Part (b) Step 2: Calculations

Determine the z-score in the normal probability table that corresponds to a probability of 90percent or 0.90, and the closest probability is width="51">0.8997, which is located in the normal probability table's row 1.2 and column.08, and hence the equivalent z-score is 1.2+.08=1.28.

localid="1657629267213" z=1.28

Z-score is localid="1657629270630" z=x−μx¯σx¯=x¯−μσ/n=x¯−25050001000

The found expressions of the z-two score must then be equal:

localid="1657629274503" x¯−2505000/1000=1.28x¯−250=1.28(5000/1000)

To each side, add 250

localid="1657629377013" x¯−250+1.28(5000/1000)

Determine:

localid="1657629382095" x=452.39

As a result, the business should charge is localid="1657629389088" $452.39.

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Most popular questions from this chapter

A 10-question multiple-choice exam offers 5 choices for each question. Jason just guesses the answers, so he has probability 15of getting any one answer correct. You want to perform a simulation to determine the number of correct answers that Jason gets. What would be a proper way to use a table of random digits to do this?

a. One digit from the random digit table simulates one answer, with 5 = correct and all other digits = incorrect. Ten digits from the table simulate 10 answers.

b. One digit from the random digit table simulates one answer, with 0 or 1 = correct and all other digits = incorrect. Ten digits from the table simulate 10 answers.

c. One digit from the random digit table simulates one answer, with odd = correct and even = incorrect. Ten digits from the table simulate 10 answers.

d. One digit from the random digit table simulates one answer, with 0 or 1 = correct and all other digits = incorrect, ignoring repeats. Ten digits from the table simulate 10 answers.

e. Two digits from the random digit table simulate one answer, with 00 to 20 = correct and 21 to 99 = incorrect. Ten pairs of digits from the table simulate 10 answers.

Sample proportions List all 6possible SRSS of size n=2, calculate the proportion of red cars in the sample, and display the sampling distribution of the sample proportion on a dotplot. Is the sample proportion an unbiased estimator of the population proportion? Explain your answer.

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The number of undergraduates at Johns Hopkins University is approximately 2000 , while the number at Ohio State University is approximately 60,000. At both schools, a simple random sample of about 3%of the undergraduates is taken. Each sample is used to estimate the proportion p of all students at that university who own an iPod. Suppose that, in fact, p=0.80 at both schools. Which of the following is the best conclusion?

a. We expect that the estimate from Johns Hopkins will be closer to the truth than the estimate from Ohio State because it comes from a smaller population.

b. We expect that the estimate from Johns Hopkins will be closer to the truth than the estimate from Ohio State because it is based on a smaller sample size.

c. We expect that the estimate from Ohio State will be closer to the truth than the estimate from Johns Hopkins because it comes from a larger population.

d. We expect that the estimate from Ohio State will be closer to the truth than the estimate from Johns Hopkins because it is based on a larger sample size.

e. We expect that the estimate from Johns Hopkins will be about the same distance from the truth as the estimate from Ohio State because both samples are 3 % of their populations.

AP2.20 A grocery chain runs a prize game by giving each customer a ticket that may win a prize when the box is scratched off. Printed on the ticket is a dollar value ( \( 500, \) 100, \(25) or the statement "This ticket is not a winner." Monetary prizes can be redeemed for groceries at the store. Here is the probability distribution of the amount won on a randomly selected ticket:

Which of the following are the mean and standard deviation, respectively, of the winnings?

a. \) 15.00, \( 2900.00

b.\) 15.00, \( 53.85

c. \) 15.00, \( 26.93

d. \) 156.25,\( 53.85

e. \) 156.25, $ 26.93

The probability distribution for the number of heads in four tosses of a coin is given by

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01234
Probability
0.06250.2500
0.3750
0.2500
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The probability of getting at least one tail in four tosses of a coin is

a. 0.2500

b. 0.3125

c. 0.6875

d. 0.9375

e. 0.0625

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