QUESTION 49Suppose a 95% confidence interval for the proportion of Americans who exercise regularly is 0.29 to0.37. Which one of the following statements is FALSE?It is reasonable to say that more than 25% of Americans exercise regularly.B. It is reasonable to say that more than 40% of Americans exercise regularly.C. The hypothesis that 33% of Americans exercise regularly cannot be rejected.D. It is reasonable to say that fewer than 40°% of Americans exercise regularly.QUESTION 50Click Save and Submit to and submit Click Save All Ansuere to save laner48-6 Partly sunnyere to searchHEWLETT-PACE

From the provided information, Confidence level = 95% Confidence interval is 0.29 to 0.37.

Answered: Suppose a 95% confidence interval for…

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 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.
Which of the following would be a correct interpretation of an 87% confidence interval for the true proportion of students who do aerobics? A) We are 87% confident that the true proportion of students who do aerobics is between 28.8% and 39.9%. B) We are 87% confident that the true average of students who do aerobics is between 28.8% and 39.9%. C) We are 95% confident that the true proportion of students who do aerobics is between 28.8% and 39.9%. D) We are 87% confident that the true proportion of students who do aerobics is between 27.3% and 41.7%.
Construct a 95% confidence interval for p1 - p2 for a survey that finds 30% of 240 males and 41% of 200 females are opposed to the death penalty. Group of answer choices a.(-0.200, -0.021) b.(-1.532, 1.342) c.(-1.324, 1.512) d.(-0.561, 0.651)
The following are true about confidence intervals: a. they indicate the presence or otherwise of a statistical difference between two populations b. the intervals are larger with smaller sample size c. the intervals give a range of values within which the true value will lie. d. a 95% confidence interval means that 95% of all observed values fall within that interval. e. None of the above.
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.
Here is an explanation from the Associated Press concerning one of its opinion polls. Explain briefly but clearly in what way this explanation is incorrect. For a poll of 1,600 adults, the variation due to sampling error is no more than three percentage points either way. The error margin is said to be valid at the 95 percent confidence level. This means that, if the same questions were repeated in 20 polls, the results of at least 19 surveys would be within three percentage points of the results of this survey.
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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.
Which of the following is the correct interpretation of a 90% confidence interval such as 0.15 < p < 0.56? a. 90% of all data values fall between o.15 and o.56. O b. We are 90% confident that the interval from o.15 to o.56 will contain the true value of p. c. 90% of the population proportions fall between o.15 and o.56. O d. There is a 90% chance that p will fall between o.15 and o.56.
A clothing designer creates a unisex outfit and wants to be 95% certain that it’ll fit both men and women; it was designed to fit an individual of 65 inches height. An assistant gathers the heights of random men and women walking down the street (see the attached data). Using the data, determine if the outfit will fit both men and women with 95% confidence. Need a hypothesis test included. Data Table: Women Men 63.0 71.4 65.7 69.9 65.2 73.2 65.9 69.7 60.8 70.4 62.9 66.3 69.6 78.7 67.5 69.8 63.4 73.5 63.8 68.1 63.0 68.1 63.7 76.0 66.1 68.0 61.9 69.8 63.5 71.1 68.1 68.1 60.8 76.4 65.4 66.4 65.3 72.9 64.0 67.3 64.9 64.8 61.1 70.7
Suppose a researcher takes a random sample of 1,000 students from a university and creates a 95% confidence interval for the true proportion of left handed students at the university. Which of the following is true about this interval when compared with a 95% confidence interval based on a random sample of 600 students from the same university? a. The interval based on a sample of 600 students will be wider than the interval based on a sample of 1,000 students. b. The lower and upper endpoints of the 95% CI based on 600 students will both be larger than the corresponding lower and upper endpoints of the 95% CI based on 1,000 students. c. 95% CIs based in samples of 1,000 students are more likely to include the true population proportion than 95% CIs based on samples of 600 students. d. The interval based on a 1,000 students will be wider than the interval based on 600 students. 2. If the researchers above wished to decrease the width of the mean confidence interval for the mean age…
Q.4.1 Construct a 99% confidence interval for the true proportion of all employees ofPeople Plus Pty who believe that they should be given a raise by the company,given that 115 out of a sample of 135 employees support this suggestion.Interpret your answer.

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