4For estimating one proportion, when would you typically choosethe bootstrap confidence interval over a classical (mathematical)confidence interval?O You don't have the required ten successes and ten failures.O You don't have a random sample.O You don't have a sample of size 30.

The question is asking about the conditions under which one would prefer to use a bootstrap…

Answered: 4 For estimating one proportion, when…

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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K A magazine provided results from a poll of 1000 adults who were asked to identify their favorite pie. Among the 1000 respondents, 12% chose chocolate pie, and the margin of error was given as +3 percentage points. Given specific sample data, which confidence interval is wider: the 95% confidence interval or the 80% confidence interval? Why is it wider? Choose the correct answer below. B OA. A 95% confidence interval must be wider than an 80% confidence interval in order to be more confident that it captures the true value of the population proportion. OB. An 80% confidence interval must be wider than a 95% confidence interval because it contains 100% -80% - 20% of the true population parameters, while the 95% confidence interval only contains 100%-95% = 5% of the true population parameters. OC. A 95% confidence interval must be wider than an 80% confidence interval because it contains 95% of the true population parameters, while the 80% confidence interval only contains 80% of the…
You plan to find a confidence interval for the percentage of children who have speech delays. A small pilot study finds that 6% of children have speech delays. If you want a 90% confidence interval with a margin of error of 3%, what is the minimum sample size you must take?
You are estimating how much population A's proportion of answering yes to a question exceeds population B's proportion who say yes to the same question by using a confidence interval. You have some ability to control the width of your interval. Which of the following would be most likely to ensure that the confidence interval is narrowed? O a. You increase both sample sizes and you decrease your confidence level. O b. You increase both sample sizes and you increase your confidence level. OC. You decrease both sample sizes and you increase your confidence level. O d. You decrease both sample sizes and you decrease your confidence level.
Tina catches a 14-pound bass. She does not know the population mean or standard deviation. So she takes a sample of five friends and they say the last bass they caught was 9, 12, 13, 10, and 10 pounds. Find the t and calculate a 95% (α = .05) confidence interval.
8 A New York Times article reported that a survey conducted in 2014 included 36,000 adults, with 1,500 of them being regular users of e-cigarettes. Because e-cigarette use is relatively new, there is a need to obtain today's usage rate. How many adults must be surveyed now if we want a confidence level of 90% and a margin of error of 1.5 percentage points?
What is the effect on the size of the confidence interval if a T score is used instead of a Z score? O It causes the interval to be smaller. O It has no effect on the interval. O It causes the interval to be bigger.
You create a 95% confidence interval for the proportion of a population. The confidence interval does not contain 0.10. This means that Group of answer choices a.You have evidence to conclude that the population proportion is equal to 0.10. b.You do not have evidence to conclude that the population proportion is equal to 0.10. c.You have evidence to conclude that the population proportion is not equal to 0.10. d.You do not have evidence to conclude that the population proportion is not equal to 0.10. e.The answer cannot be determined with the information given.
A college professor would like to estimate the proportion of students who pull an "all-nighter," meaning they study all night for an upcoming exam. She selects a random sample of 100 students from her large college and finds that the 99% confidence interval for the true proportion of students who pull an all-nighter is 0.48 to 0.62. Which of these statements is a correct interpretation of the confidence level? O Approximately 99% of all students have pulled an all-nighter. O There is a 99% probability that the true proportion of all students who pull an all-nighter is between 0.48 and 0.62. If many random samples of size 100 are selected from all students at this college, approximately 99% of the intervals would capture the true proportion who pull an all-nighter. C Approximately 99% of the sample proportions of students who pull an all-nighter, based on random samples of size 100 from the population of all students at this college, will fall between 0.48 and 0.62.
Which interval is which? Alessandro constructed three confidence intervals, all from the same random sample. The confidence levels are 90%, 95%, and 99%. The confidence intervals are I. 7.4<μ<8.6 II. 7.1
When constructing a 90% confidence interval around a sample mean, how many samples out of 100 would you expect to not include the true population mean within their confidence intervals? a. 5 b. 1 c. 0 d. 10
(5) You take a random sample from some population and form a 98% confidence interval for the population mean, a. Which quantity is guaranteed to be in the interval you form? A. 0 B. u C. D. 0.98
Which is true about a 95% confidence interval for a population proportion based on a given sample? A There is a 95% chance that the true sample proportion is in the middle of our interval. There is a 5% chance that our Interval does not contain the population proportion. C The Interval Is wider than a 90% confidence Interval would be. none of these is true.

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4 For estimating one proportion, when would you typically choose the bootstrap confidence interval over a classical (mathematical) confidence interval? O You don't have the required ten successes and ten failures. O You don't have a random sample. O You don't have a sample of size 30.