Question 2 The idea of insurance is that we all face risks that are unlikely but carry high cost. Think of a fire destroying your home. Insurance spreads the risk: we all pay a small amount, and the insurance policy pays a large amount to those few of us whose homes burn down. An insurance company looks at the records for millions of homeowners and sees that the mean loss from fire in a year is p -$250 per person. (Most of us have no loss, but a few lose their homes. The $250 is the average loss.) The company plans to sell fire insurance for $250 plus enough to cover its costs and profit. Why would it be unwise to sell only 12 policies? L Because if we have to pay for total loss for one or more of these 12 policies, it would be financially disastrous. Because the probability that we would have to pay for total loss for one or more of these policies is very high. The statement is wrong. It is wiser to sell as few policies as possible. Because the income on 12 policies is very low. Question 3 The idea of insurance is that we all face risks that are unlikely but carry high cost. Think of a fire destroying your home. Insurance spreads the risk: we all pay a small amount, and the insurance policy pays a large amount to those few of us whose homes burn down, An insurance company looks at the records for millions of homeowners and sees that the mean loss from fire in a year is u = $250 per person. (Most of us have no loss, but a few lose their homes. The $250 is the average loss.) The company plans to sell fire insurance for $250 plus enough to cover its costs and profit. Why is it that selling thousands of such policies is a safe business? Because for thousands of policies, the law of large numbers implies that the average claim on many policies will be smaller then the mean. The statement is wrong. It is not wise to sell thousands of such policies, since this will result in a large number of claims. Because for thousands of policies, the law of large numbers implies that the average claim on many policies will be close to the mean. U Because for thousands of policies, the law of large numbers implies that the average claim on many policies will be larger than the mean.
Inverse Normal Distribution
The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.
Mean, Median, Mode
It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.
Z-Scores
A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.
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