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Confidence Intervals for One Population Proportion

A population proportion is the proportion (percentage) of a population that has a specified attribute. For example, if the population under consideration consists of all Americans and the specified attribute is “retired, “the population proportion is the proportion of all Americans who are retired. Statisticians often need to determine the proportion (percentage) of a population that has a specified attribute. Some examples are •The percentage of U.S. adults who have health insurance •The percentage of cars in the United States that are imports •The percentage of U.S. adults who favor stricter clean air health standards •The percentage of Canadian women in the labor force. In the first case, the population consists of all U.S. adults and the specified attribute is…

Bees. Solve the problem.

Solve the problem. 1) Find the critical value that corresponds to a degree of confidence of 91%. A) 1.70B) 1.34 C) 1.645 D) 1.75 2) The following confidence interval is obtained for a population proportion, p:0.817 < p < 0.855 Use these confidence interval limits to find the point estimate, A) 0.839 B) 0.836 C) 0.817 D) 0.833 Find the margin of error for the 95% confidence interval used to estimate the population proportion. 3) n = 186, x = 103 A) 0.0643 B) 0.125 C) 0.00260 D) 0.0714 Find the minimum sample size you should use to assure that your estimate of will be within the required margin of error around the population p. 4) Margin of error: 0.002;…

Chapter 7 Exam Review. Solve the problem.

1) Find the critical value that corresponds to a degree of confidence of 91%. A) 1.70B) 1.34 C) 1.645 D) 1.75 2) The following confidence interval is obtained for a population proportion, p:0.817 < p < 0.855 Use these confidence interval limits to find the point estimate, A) 0.839 B) 0.836 C) 0.817 D) 0.833 Find the margin of error for the 95% confidence interval used to estimate the population proportion. 3) n = 186, x = 103 A) 0.0643 B) 0.125 C) 0.00260 D) 0.0714 Find the minimum sample size you should use to assure that your estimate of will be within the required margin of error around the population p. 4) Margin of error: 0.002; confidence level: 93%;…