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Margin of error=0.03

Confidence level=99%

Educated guess=0.5

(a) Obtain a sample size that will ensure a margin of error of at most the one specified (provided of course that the observed value of the sample proportion is further from 0.5that of the educated guess.

(b). Compare your answer to the corresponding one and explain the reason for the difference, if any.

Short Answer

Expert verified

(a) The required sample size is 1,842.

(b) Because in part a, the educated guess 0.25is used, which offers a more accurate sample, and in 11.35, the constant 0.25is used, which produces a bigger sample, the sample size achieved in part an is smaller than the sample size obtained in 11.35.

Step by step solution

01

Part (a) Step 1: Given information

Margin of error=0.03

Confidence level=99%

Educated guess=0.5

02

Part (a) Step 2: Explanation

When the margin of error is 0.03and the confidence level is 99%, calculate the sample size.

With a 99%confidence level, the required value of za2from table areas under the standard normal curve is 2.575.

The sample size is

n=0.25za2E2

=0.252.5750.032

=0.25(7,367.361)

=1,841.84

≈1,842.

03

Part (b) Step 1: Given information

Margin of error=0.03

Confidence level=99%

Educated guess=0.5

04

Part (b) Step 2: Explanation

When the margin of error is 0.03and the confidence level is 99%, calculate the sample size.

With a 99%confidence level, the required value of za2from table areas under the standard normal curve is 2.575.

The sample size is

n=0.25za¯EE2

=0.252.5750.032

=0.25(7.367.361)

=1,841.84

≈1,842.

Because in part a, the educated guess 0.25is used, which offers a more accurate sample, and in 11.35, the constant 0.25 is used, which produces a bigger sample, the sample size achieved in part an is smaller than the sample size obtained in .

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Most popular questions from this chapter

Why is statistical inference generally used to obtain information about a population proportion?

Body Mass Index. Refer to Exercise 11.111 and find and interpret a 90% confidence interval for the difference between the percentages of adults in the Iwo degree categories who have an above healthy weight.

In discussing the sample size required for obtaining a confidence interval with a prescribed confidence level and margin of error, we made the following statement: "... we should be aware that, if the observed value of p^is closer to 0.5than is our educated guess, the margin of error will be larger than desired." Explain why.

One-Proportion Plus-Four z-Interval Procedure. To obtain a plus four z-interval for a population proportion, we first add two successes and two failures to our data (hence, the term "plus four") and then apply Procedure 11.1on page 454to the new data. In other words, in place of p^(which is x/n), we use p~=(x+2)/(n+4). Consequently, for a confidence level of 1-α, the endpoints of the plus-four z-interval are

p~±za/2·p~(1-p~)/(n+4)

As a rule of thumb, the one-proportion plus-four z-interval procedure should be used only with confidence levels of 90% or greater and sample sizes of 10 or more.

In discussing the sample size required for obtaining a confidence interval with a prescribed confidence level and margin of error, we made the following statement: "If we have in mind a likely range for the observed value of p^, then, in light of Fig. 11.1, we should take as our educated guess for p^the value in the range closest to 0.5"Explain why.

We have given a likely range for the observed value of a sample proportion p^

0.7orless

a. Based on the given range, identify the educated guess that should be used for the observed value of p^to calculate the required sample size for a prescribed confidence level and margin of error.

b. Identify the observed values of the sample proportion that will yield a larger margin of error than the one specified if the educated guess is used for the sample-size computation.

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