The number of unbroken charcoal briquets in a 20-pound bag filled at the factory follows a Normal distribution with a mean of 450 briquets and a standard deviation of 20 briquets. The company expects that a certain number of the bags will be underfilled, so the company will replace for free the 5%of bags that have too few briquets. What is

the minimum number of unbroken briquets the bag would have to contain for the company to avoid having to replace the bag for free?

a. 404

b. 411

c. 418

d. 425

e. 448

Short Answer

Expert verified

c. The minimum number of unbroken briquets the bag would have to contain for the company to avoid having to replace the bag for free is 418

Step by step solution

01

Given Information

Given,

μ=450,σ=20

USe the Formula :

Z=X-μσ

02

Explanation for correct option

Consider,

X~Normal(μ=450,σ=20)Z~Normal(μ=0,σ=1)P(Z<-1.645)=0.05;Z=-1.645

The book's Z table can be used to compute the 5th percentile; look for the associated Z value within the table.

Z=X-μσX=σ*Z+μX=-1.645*20+450=417.1

Knowing that Z=-1.645

X=418

Therefore, the correct option is (c)

03

Explanation for incorrect option

a. The minimum number of unbroken briquets the bag would have to contain for the company to avoid having to replace the bag for free is not 404

b. The minimum number of unbroken briquets the bag would have to contain for the company to avoid having to replace the bag for free is not 411

d. The minimum number of unbroken briquets the bag would have to contain for the company to avoid having to replace the bag for free is not 425

e. The minimum number of unbroken briquets the bag would have to contain for the company to avoid having to replace the bag for free is not 448.

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Most popular questions from this chapter

Which of the following statements about the sampling distribution of the sample mean is incorrect?

a. The standard deviation of the sampling distribution will decrease as the sample size increases.

b. The standard deviation of the sampling distribution measures how far the sample mean typically varies from the population mean.

c. The sample mean is an unbiased estimator of the population mean.

d. The sampling distribution shows how the sample mean is distributed around the population mean.

e. The sampling distribution shows how the sample is distributed around the sample mean.

In a certain large population of adults, the distribution of IQ scores is strongly left skewed with a mean of 122 and a standard deviation of 5. Suppose 200 adults are randomly selected from this population for a market research study. For SRSs of size 200, the distribution of sample mean IQ score is

a. left-skewed with mean 122 and standard deviation 0.35.

b. exactly Normal with mean 122 and standard deviation 5.

c. exactly Normal with mean 122 and standard deviation 0.35.

d. approximately Normal with mean 122 and standard deviation 5.

e. approximately Normal with mean 122 and standard deviation 0.35.

Cold cabin? The dotplot shows the results of taking 300SRSs of 10temperature readings from a Normal population with μμ=50and σσ=3and recording the sample standard deviation sxsxeach time. Suppose that the standard deviation from an actual sample is sx=5°F.sx=5°F. What would you conclude about the thermostat manufacturer's claim? Explain your reasoning.

16.05A machine is designed to fill 16-ounce bottles of shampoo. When the machine is working properly, the amount poured into the bottles follows a Normal distribution with mean 16.05 ounces and standard deviation 0.1ounce. Assume that the machine is working properly. If 4 bottles are randomly selected and the number of ounces in each bottle is measured, then there is about a 95%probability that the sample mean will fall in which of the following intervals?

a. 16.05to 16.15ounces

b. 16.00to 16.10ounces

c. 15.95to role="math" localid="1654391534650" 16.15ounces

d. 15.90to 16.20ounces

e. 15.85to 16.25ounces

The central limit theorem is important in statistics because it allows us to use a Normal distribution to find probabilities involving the sample mean if the

a. sample size is reasonably large (for any population).

b. population is Normally distributed (for any sample size).

c. population is Normally distributed and the sample size is reasonably large.

d. population is Normally distributed and the population standard deviation is known (for any sample size).

e. population size is reasonably large (whether the population distribution is known or not).

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