A researcher is interested in estimating the proportion of voters who favor a tax on e-commerce. ) ___________.Based on a sample of 250 people, she obtains the following 99% confidence interval for the population proportion, p: 0.113 < p < 0.171. Which of the statements below is a valid interpretation of this confidence interval?There is a 99% chance that the true value of implies between 0.113 and 0.171.If 100 different samples of size 250 were selected and, based on each sample, a confidence interval were constructed, exactly 99 of these confidence intervals would contain the true value of p. If many different samples of size 250 were selected and, based on each sample, a confidence interval were constructed, in the long run 99% of the confidence intervals would contain the true value of p.If many different samples of size 250 were selected and, based on each sample, a confidence intervaL were constructed, 99% of the time the true value of p would lie between 0.113 and 0.171.

Given : 99% confidence interval for the population proportion, p: 0.113 < p < 0.171.solution : Here we find confidence interval for proportion option c) is correct answer c) If many different samples of size 250 were selected and, based on each sample, a confidence interval were constructed, in the long run 99% of the confidence intervals would contain the true value p.

Answered: Based on a sample of 250 people, she…

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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A researcher is interested in estimating the proportion of voters who favor a tax on e-commerce. ) ___________.

Based on a sample of 250 people, she obtains the following 99% confidence interval for the population proportion, p: 0.113 < p < 0.171. Which of the statements below is a valid interpretation of this confidence interval?

There is a 99% chance that the true value of implies between 0.113 and 0.171.
If 100 different samples of size 250 were selected and, based on each sample, a confidence interval were constructed, exactly 99 of these confidence intervals would contain the true value of p.
If many different samples of size 250 were selected and, based on each sample, a confidence interval were constructed, in the long run 99% of the confidence intervals would contain the true value of p.
If many different samples of size 250 were selected and, based on each sample, a confidence intervaL were constructed, 99% of the time the true value of p would lie between 0.113 and 0.171.

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