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Making auto parts Refer to Exercise 54 . How many axles would you need to sample if you wanted the standard deviation of the sampling distribution of x-x¯to be 0.0005mm ? Justify your answer.

Short Answer

Expert verified

If the sample's standard deviation of the sampling distribution is 0.005nm, the sample should be 16 axles.

Step by step solution

01

Given information 

Given,

μ=40.125mmσ=0.002mmσx¯=0.0005mm
02

Calculation

The standard deviation of the sampling distribution of the sample mean is the population standard deviation divided by the square root of the sample. x¯

σ1=σn

By multiplying both sides by n

nσx¯=σ

By dividing both the side by σ2

n=σσI

By squaring both the sides

n=σ2σx¯2

Now Calculate the value of n

n=σ2σ2I=0.00220.00052=16

If the sample's standard deviation of the sampling distribution is0.0005mm the sample should be 16 axles.

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Most popular questions from this chapter

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.

The number of undergraduates at Johns Hopkins University is approximately 2000 , while the number at Ohio State University is approximately 60,000. At both schools, a simple random sample of about 3%of the undergraduates is taken. Each sample is used to estimate the proportion p of all students at that university who own an iPod. Suppose that, in fact, p=0.80 at both schools. Which of the following is the best conclusion?

a. We expect that the estimate from Johns Hopkins will be closer to the truth than the estimate from Ohio State because it comes from a smaller population.

b. We expect that the estimate from Johns Hopkins will be closer to the truth than the estimate from Ohio State because it is based on a smaller sample size.

c. We expect that the estimate from Ohio State will be closer to the truth than the estimate from Johns Hopkins because it comes from a larger population.

d. We expect that the estimate from Ohio State will be closer to the truth than the estimate from Johns Hopkins because it is based on a larger sample size.

e. We expect that the estimate from Johns Hopkins will be about the same distance from the truth as the estimate from Ohio State because both samples are 3 % of their populations.

The Gallup Poll has decided to increase the size of its random sample of voters from about 1500 people to about 4000 people right before an election. The poll is designed to estimate the proportion of voters who favor a new law banning smoking in public buildings. The effect of this increase is to

a. reduce the bias of the estimate.

b. increase the bias of the estimate.

c. reduce the variability of the estimate.

d. increase the variability of the estimate.

e. reduce the bias and variability of the estimate.

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 probability distribution for the number of heads in four tosses of a coin is given by

Number of heads
01234
Probability
0.06250.2500
0.3750
0.2500
0.0625

The probability of getting at least one tail in four tosses of a coin is

a. 0.2500

b. 0.3125

c. 0.6875

d. 0.9375

e. 0.0625

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