Which one of the following statements is true? A. A confidence interval is computed in order to estimate an unknown sample statistic. B. The margin of error is not affected at all by the size of the sample proportion. C. If you construct a confidence interval for a population proportion and the interval ends up being from 0.48 to 0.59, this means the population proportion is definitely larger than 0.50. D. If a 95% confidence interval is given as 0.32 to 0.46, this means the sample proportion must be 0.32. E. The standard deviation of the sampling distribution of the sample proportion is commonly referred to as the standard error.
Which one of the following statements is true? A. A confidence interval is computed in order to estimate an unknown sample statistic. B. The margin of error is not affected at all by the size of the sample proportion. C. If you construct a confidence interval for a population proportion and the interval ends up being from 0.48 to 0.59, this means the population proportion is definitely larger than 0.50. D. If a 95% confidence interval is given as 0.32 to 0.46, this means the sample proportion must be 0.32. E. The standard deviation of the sampling distribution of the sample proportion is commonly referred to as the standard error.
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.4: Distributions Of Data
Problem 19PFA
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1. Which one of the following statements is true?
A. A confidence interval is computed in order to estimate an unknown sample statistic.
B. The margin of error is not affected at all by the size of the sample proportion.
C. If you construct a confidence interval for a population proportion and the interval ends up being from 0.48 to 0.59, this means the population proportion is definitely larger than 0.50.
D. If a 95% confidence interval is given as 0.32 to 0.46, this means the sample proportion must be 0.32.
E. The standard deviation of the sampling distribution of the sample proportion is commonly referred to as the standard error.
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