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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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