Chapter 11: Q.11.132 (page 478)
Obtain a formula for the margin of error, , in estimating the difference between two population proportions by referring to Step 2 of Procedure on page 472 .
Short Answer
The formula of margin of error is
Chapter 11: Q.11.132 (page 478)
Obtain a formula for the margin of error, , in estimating the difference between two population proportions by referring to Step 2 of Procedure on page 472 .
The formula of margin of error is
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Get started for freeWomen in the Labor Force. The Organization for Economic Cooperation and Development (OFCD) summarizes data on labor-force participation rates in O E C D in Figures. Independent simple random samples were taken of 300 U.S. women and 250 Canadian women. Of the U.S. women, 215 were found to be in the labor force; of the Canadian women. 186 were found to be in the labor force.
a. At the significance level, do the data suggest that there is a difference between the labor-force participation rates of U.S. and Canadian women?
b. Find and interpret a confidence interval for the difference between the labor-force participation rates of U.S. and Canadian women.
a. Determine the sample proportion.
b. Decide whether using the one-proportion test is appropriate.
c. If appropriate, use the one-proportion test to perform the specified hypothesis test.
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role="math" localid="1651300430510"
Obtain a sample size that will ensure a margin of error of at most the one specified.
Margin of error
Confidence level
A poll by Gallup asked, "If you won million dollars in the lottery, would you continue to work or stop working?' Of the American adults surveyed, said that they would continue working. Obtain a confidence interval for the proportion of all American adults who would continue working if they won 10 million dollars in the lottery.
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 , then, in light of Fig. , we should take as our educated guess for the value in the range closest to "Explain why.
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