Math  /  Data & Statistics

QuestionThere is a 0.9982 probability that a randomly selected 30 -year-old male lives through the year. A life insurance company charges $187\$ 187 for insuring that the male will liv through the year. If the male does not survive the year, the policy pays out $100,000\$ 100,000 as a death benefit. Complete parts (a) through (c) below. a. From the perspective of the 30 -year-old male, what are the monetary values corresponding to the two events of surviving the year and not surviving?
The value corresponding to surviving the year is $187\$-187. The value corresponding to not surviving the year is $99,813\$ 99,813. (Type integers or decimals. Do not round.) b. If the 30-year-old male purchases the policy, what is his expected value?
The expected value is $7\$-7. (Round to the nearest cent as needed.) c. Can the insurance company expect to make a profit from many such policies? Why?
Yes, because the insurance company expects to make an average profit of $\$ \square on every 30 -year-old male it insures for 1 year. (Round to the nearest cent as needed.)

Studdy Solution

STEP 1

What is this asking? This problem wants us to figure out the potential outcomes for a 30-year-old male buying life insurance, see what he can expect to "gain" on average, and determine if the insurance company makes a profit. Watch out! Don't mix up the probabilities of surviving and not surviving!
Also, remember that the cost of the insurance is a loss for the male, so we'll represent that with a negative value.

STEP 2

1. Calculate the Value of Not Surviving
2. Calculate the Expected Value for the Male
3. Calculate the Expected Profit for the Insurance Company

STEP 3

Let's **define** what "value" means in this context.
It's the net monetary gain or loss for the male.

STEP 4

If the male doesn't survive, the policy pays out $100,000\$100,000.
But he *did* pay $187\$187 for the policy.
So, the **net value** is the payout *minus* the cost:
$100,000$187=$99,813 \$100,000 - \$187 = \$99,813

STEP 5

The **expected value** is the average outcome if the same scenario played out many times.
It's like a weighted average of the possible outcomes.

STEP 6

We **multiply** each outcome by its probability and **add** those products together.
The probability of surviving is 0.99820.9982, and the value of surviving is $187-\$187 (because it's a cost).
The probability of *not* surviving is 10.9982=0.00181 - 0.9982 = 0.0018, and the value of not surviving is $99,813\$99,813, as we calculated earlier.

STEP 7

So, the **expected value** is:
(0.9982)($187)+(0.0018)($99,813) (0.9982) \cdot (-\$187) + (0.0018) \cdot (\$99,813) =$186.6734+$179.6634 = -\$186.6734 + \$179.6634 =$7.01 = -\$7.01 This means, on average, the male would lose about $7\$7.

STEP 8

The insurance company's profit is the opposite of the male's gain/loss.
If the male survives, the company gains the $187\$187 premium.
If the male doesn't survive, the company loses $99,813\$99,813 (after accounting for the premium they already received).

STEP 9

The **expected profit** for the insurance company is calculated similarly to the expected value for the male:
(0.9982)($187)+(0.0018)($99,813) (0.9982) \cdot (\$187) + (0.0018) \cdot (-\$99,813) =$186.6734$179.6634 = \$186.6734 - \$179.6634 =$7.01 = \$7.01

STEP 10

a. Surviving: $187-\$187; Not surviving: $99,813\$99,813 b. Expected value for the male: $7.01-\$7.01 c. Yes, the insurance company can expect to make a profit.
They expect to make an average profit of $7.01\$7.01 on every 30-year-old male they insure for one year.

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