Question

In: Statistics and Probability

The annual per capita consumption of bottled water was 31.531.5 gallons. Assume that the per capita...

The annual per capita consumption of bottled water was

31.531.5

gallons. Assume that the per capita consumption of bottled water is approximately normally distributed with a mean of

31.531.5

and a standard deviation of

1212

gallons.a. What is the probability that someone consumed more than

3232

gallons of bottled​ water?b. What is the probability that someone consumed between

2525

and

3535

gallons of bottled​ water?c. What is the probability that someone consumed less than

2525

gallons of bottled​ water?d.

9999​%

of people consumed less than how many gallons of bottled​ water?

a. The probability that someone consumed more than

3232

gallons of bottled water is

nothing.

​(Round to four decimal places as​ needed.)

b. The probability that someone consumed between

2525

and

3535

gallons of bottled water is

nothing.

​(Round to four decimal places as​ needed.)

c. The probability that someone consumed less than

2525

gallons of bottled water is

nothing.

​(Round to four decimal places as​ needed.)

d.

9999​%

of people consumed less than

nothing

gallons of bottled water.

​(Round to two decimal places as​ needed.)

Solutions

Expert Solution

Solution :

Let X be a random variable which represents the annual per capita consumption of bottled water.

Given that, X ~ N(31.5, 12²)

Mean (μ) = 31.5

SD (σ) = 12

a) We have to find P(X > 32).

We know that, if X ~ N(μ, σ²) then,

Using "pnorm" function of R we get, P(Z > 0.04167) = 0.4834

Hence, the probability that someone consumed more than 32 gallons of bottled water is 0.4834.

b) We have to find P(25 < X < 35).

P(25 < X < 35) = P(X < 35) - P(X ≤ 25)

We know that, if X ~ N(μ, σ²) then,

Using "pnorm" function of R we get,

P(Z < 0.2917) = 0.6147 and P(Z ≤ -0.5417) = 0.2940

Hence, the probability that someone consumed between 25 and 35 gallons of bottled water is 0.3247.

c) We have to find P(X < 25).

We know that, if X ~ N(μ, σ²) then,

Using "pnorm" function of R we get, P(Z ≤ -0.5417) = 0.2940

Hence, the probability that someone consumed less than 25 gallons of bottled water is 0.2940.

d) Let 99% of people consumed less than k gallons of water.

Hence,

P(X < k) = 0.99

........................(1)

Using "qnorm" function of R we get, P(Z < 2.3263) = 0.99

Comparing, P(Z < 2.3263) = 0.99 and (1) we get,

Hence, 99% of people consumed less than 59.42 gallons of water.

Please rate the answer. Thank you.


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