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Suppose the Census needed to be 98% confident of the population mean length of time. Would the Census have to survey more people? Why or why not?

Short Answer

Expert verified

It is not required for the census to survey a larger number of people because the level of confidence does not depend on the sample size.

Step by step solution

01

Given Information

n=samplesize=200

x=Samplemean=8.2

σ=Populationstandarddeviation=2.2

02

Explanation

We are increasing the confidence level from 90% to 98%.

However, we have not been given whether they want to keep the error bound the same or not.

If they want to keep the error bound the same, then the Census will need to survey more people (as increasing the confidence level will increases the error bound and increasing the sample size will decreases the error bound again).

If they do not want to keep the error bound the same, then the sample size doesn't need to be increased and thus we don't require more people in the survey (as the error bound will simply increase).

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The U.S. Census Bureau conducts a study to determine the time needed to complete the short form. The Bureau surveys 200 people. The sample mean is 8.2 minutes. There is a known standard deviation of 2.2 minutes. The population distribution is assumed to be normal.

Identify the following:

a. x¯ = _____

b. σ = _____

c. n = _____

The mean age for all Foothill College students for a recent Fall term was 33.2. The population standard deviation has been pretty consistent at 15. Suppose that twenty-five Winter students were randomly selected. The mean age for the sample was 30.4. We are interested in the true mean age for Winter Foothill College students. Let X=the age of a Winter Foothill College student.

Is σxknown?

Which distribution should you use for this problem?

Using the same mean, standard deviation, and level of confidence, suppose that n were 69 instead of 25. Would the error bound become larger or smaller? How do you know?

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