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LenKa [72]
3 years ago
10

Out of 5000 policies for cell phones, a company received 585 claims. The average amount paid on the claims was $80. If the annua

l cost of the policy was $48, what was a customers expected value of the cell phone insurance policy?
-$9.36
$5.13
-$38.64
$9.36​
Mathematics
1 answer:
Ede4ka [16]3 years ago
6 0

Answer:

the customer's expected value of the cellphone insurance policy is -$38.64. (Option C)

Step-by-step explanation:

Based on the data given, 585/5000 or 11.7% of the total number policies have claims. This means, 100% - 11.7% = 88.3% have not claimed their cellphone insurance.

  • In the  chart, we are focusing on the customer's end because the question is asking for the customer's expected value↓
  • In the chart, if the customer has no claims, then he losses his $48. However, if he has claims, he gains $32 since $80 - 48 = $32. Also, based on the data given by the company, 88.30% have no claims and only 11.7% of the customers have claims.
  • To get the expected value, we will multiply -48 and 88.3% as well as 32 and 11.7%. 48 is negative because it indicates a loss.

Therefore, your Answer is -38.64

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8_murik_8 [283]

Answer:

P(45

And we can find this probability with the following difference:

P(-0.714

And in order to find these probabilities we can use tables for the normal standard distribution, excel or a calculator.  

P(-0.714

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

Solution to the problem

Let X the random variable that represent the number of gallons of a population, and for this case we know the distribution for X is given by:

X \sim N(47.5,3.5)  

Where \mu=47.5 and \sigma=3.5

We are interested on this probability

P(45

And the best way to solve this problem is using the normal standard distribution and the z score given by:

z=\frac{x-\mu}{\sigma}

If we apply this formula to our probability we got this:

P(45

And we can find this probability with the following difference:

P(-0.714

And in order to find these probabilities we can use tables for the normal standard distribution, excel or a calculator.  

P(-0.714

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nadezda [96]

Answer:

4%is the answer you are looking for

8 0
3 years ago
Read 2 more answers
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