A 95% confidence interval for the proportion of all statistics students from a large high school that have a part-time job is (0.225, 0.395). You plan to Which of the following statements is correct? compute a 99% confidence interval using the same data. O The intervals will have the same width. O The 99% confidence interval will be narrower. O The 99% confidence interval will be wider. O A 99% confidence interval will always be exactly twice as wide as a 95% confidence interval. O A 99% confidence interval will always be exactly 1/2 as wide as a 95% confidence interval.

A 95% confidence interval for the proportion of all statistics students from a large high school that have a part-time job is (0.225, 0.395). You plan to Which of the following statements is correct? compute a 99% confidence interval using the same data. O The intervals will have the same width. O The 99% confidence interval will be narrower. O The 99% confidence interval will be wider. O A 99% confidence interval will always be exactly twice as wide as a 95% confidence interval. O A 99% confidence interval will always be exactly 1/2 as wide as a 95% confidence interval.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Which of the following statements is correct about confidence intervals? A. Higher confidence levels result in narrower confidence intervals. B. Higher confidence levels result in lower standard error of the mean. C. The goal of constructing a confidence interval is to estimate the population mean from the sample mean. D. Both A and C.
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A 95% confidence interval for the proportion of young adults who skip breakfast is .20 to .27. Which one of the following is a correct interpretation of this 95% confidence interval? 1 We are 95% confident that the sample proportion of young adults who skip breakfast is between .20 and .27. 2 We are 95% confident that the proportion of young adults in the population who skip breakfast is between .20 and .27. 3 The proportion of young adults who skip breakfast 95% of the time is between .20 and .27. 4 We are 95% confident no mistakes were made when the interval from .20 to .27 was computed.
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