Problem of statistics based on daily life events


Q1. Length of pregnancies

The length of human pregnancies from conception to birth varies according to a distribution that is approximately Normal with mean 266 days and standard deviation 16 days.

a) What percent of pregnancies last fewer than 240 days (that's about 8 months)?

b) What percent of pregnancies last between 240 and 270 days (roughly between 8 and 9 months)?

c) How long do the longest 25% of pregnancies last?

Q2. Deciles of Normal distributions:

The deciles of any distribution are the 10th, 20th..., 90th percentiles, respectively.

a) What are the first and last deciles of the standard Normal distribution?

b) The weights of 9-ounce potato chip bags are approximately Normal with mean 9.25 ounces and standard deviation 0.15 ounce. What are the first and last deciles of this distribution?

Q3. Life Insurance:

A life insurance company sells a term insurance policy to a 21-year-old male that pays $100,000 if that insured dies within the next 5 years. The probability that a randomly chosen male will die each year can be found in mortality tables. The company collects a premium of $250 each year as payment for the insurance. The amount X that the company earns on this policy is $250 per year., less the $100,000 that it must pay if the insured dies. The distribution of X is shown below. Fill in the missing probability in the table and calculate the mean earnings mx.

Age at Death (years):

Age of Death

 

21

22

23

24

25

>26

 

Earnings X
Probability

($99,750)

($99,550)

($99,250)

($99,000)

($98,750)

$1,250

 

0.00183

0.00186

0.00189

0.00191

0.00193

?

 

Q4. More about life insurance:

It would be quite risky for you to insure the life of a 21-year-old friend under the terms of above question. There is a high probability that your friend would live and you would gain $1,250 in premiums. But if he were to die, you would lose almost $100,000. Explain carefully why selling insurance is not risky for an insurance company that insure many thousands of 21-year-old men?

Age of Death

 

21

22

23

24

25

>26

 

Earnings X
Probability

($99,750)

($99,550)

($99,250)

($99,000)

($98,750)

$1,250

 

0.00183

0.00186

0.00189

0.00191

0.00193

?

 

Q5. Tastes in music:

Musical styles other than rock and pop are becoming more popular. A survey of college students finds that 40% like country music, 30% like gospel music, and 10% like both.

a) What is the conditional probability that a student likes gospel music if we know that he or she likes country music?

b) What is the conditional probability that a student who does not like country music likes gospel music? (A Venn diagram may help you.)

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Basic Statistics: Problem of statistics based on daily life events
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