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More on insurance An insurance company knows that in the entire population of homeowners, the mean annual loss from 铿乺e is =250and the standard deviation of the loss is =300. The distribution of losses is strongly right-skewed: many policies have 0loss, but a few have large losses. If the company sells 10,000 policies, can it safely base its rates on the assumption that its average loss will be no greater than 275? Follow the four-step process

Short Answer

Expert verified

From the given information, the company can safely base its rates on the assumption that is average loss will be no longer greater than275 it sells,10,000 policies.

Step by step solution

01

Given Information

It is given in the question that, the mean annual loss, =250

the standard deviation of the loss, =300

follow the four-step process.

02

Explanation

The central limit theorem states that if the sample size of a sampling distribution is 300or more, then the sample mean is approximately normal whose mean is and the standard deviation is n.

The zvalue of a distribution can be found by dividing the difference between the population mean and sample mean by the standard deviation that is, z=xsrn.

Since the sample size of 10,000policies is at least 30; so we can apply the central limit theorem.

Find the zvalue by using the formulaz=xsrn.

03

Explanation

Substitute 275for x,250for,300for,and10,000fornthe above formula and simplify.

z=27525030010000

=25306100

=8.33

Thus, the corresponding probability is:

P(x>275)=P(z>8.33)=P(Z<8.33)=0.0001

Thus, the company can safely assume that the average loss will be no greater than 275because the probability is almost zero.

Accordingly, the company can safely base its rates on the assumption that its average loss will be no greater than 275it sells 10,000policies.

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