# Answer to Question #8814 in Quantitative Methods for Hitesh Prajapati

Question #8814

Que-1. The probability that a bulb produced by a factory will fuse after certain period of time is 0.05. Find the probability that out of 5 such bulbs

a. None fuses

b. Not more than 2 fuse

c. More than 2 fuse

Que-2. A supplier of components to an electronic industry makes a sophisticated product which sometimes fails immediately it is used. He controls his manufacturing process so that the proportion of faulty products is supposed to be only 5%. Out of 400 supplies in a batch, 26 prove to be faulty. Verify the manufacturer’s claim. Use 0.05 level of significance.

Que-3. The ages of husbands and wives in a community were found to have a correlation coefficient equal to +0.8; the average of husbands’ ages was 25 years and that of wives’ ages 22 years; their standard deviations were respectively 4 and 5 years. Find the two lines of regression and from the lines ,measure

a. The expected age of husband when wife’s age is 12 years

b. The expected age of wife when husband’s age is 33 years

a. None fuses

b. Not more than 2 fuse

c. More than 2 fuse

Que-2. A supplier of components to an electronic industry makes a sophisticated product which sometimes fails immediately it is used. He controls his manufacturing process so that the proportion of faulty products is supposed to be only 5%. Out of 400 supplies in a batch, 26 prove to be faulty. Verify the manufacturer’s claim. Use 0.05 level of significance.

Que-3. The ages of husbands and wives in a community were found to have a correlation coefficient equal to +0.8; the average of husbands’ ages was 25 years and that of wives’ ages 22 years; their standard deviations were respectively 4 and 5 years. Find the two lines of regression and from the lines ,measure

a. The expected age of husband when wife’s age is 12 years

b. The expected age of wife when husband’s age is 33 years

Expert's answer

Question 3

The ages of husbands and wives in a community were found to have a

correlation coefficient equal to +0.8; the average of husbands’ ages was

25 years and that of wives’ ages 22 years; their standard deviations

were respectively 4 and 5 years. Find the two lines of regression and

from the lines ,measure

a. The expected age of husband when wife’s age is 12 years

The answer has three factors in it.

1) Since there is 0.8 correlation coefficient, this gives 12*0.8 = 9.6; rounds to 10;

2) This leaves 0.2 that is not in correlation, and that gives 25*0.2 = 5; and

3) On the average, the husband is 3 years older.

Altogether this gives 10 + 5 + 3 = 18.

b. The age of 33 for a wife puts the husband at 0.8(33) with a standard deviaton of 0.2(4).

That is, the husband is, on the average, 26.4, with a st dev of 0.8.

That puts the husband age rougly as at least 25 and at most 27.

The ages of husbands and wives in a community were found to have a

correlation coefficient equal to +0.8; the average of husbands’ ages was

25 years and that of wives’ ages 22 years; their standard deviations

were respectively 4 and 5 years. Find the two lines of regression and

from the lines ,measure

a. The expected age of husband when wife’s age is 12 years

The answer has three factors in it.

1) Since there is 0.8 correlation coefficient, this gives 12*0.8 = 9.6; rounds to 10;

2) This leaves 0.2 that is not in correlation, and that gives 25*0.2 = 5; and

3) On the average, the husband is 3 years older.

Altogether this gives 10 + 5 + 3 = 18.

b. The age of 33 for a wife puts the husband at 0.8(33) with a standard deviaton of 0.2(4).

That is, the husband is, on the average, 26.4, with a st dev of 0.8.

That puts the husband age rougly as at least 25 and at most 27.

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