Interpretation #4: There is a 95% chance the mean number of hours worked by adults in this country inthe previous week was between 31 hours and 47 hours.O Flawed. This interpretation implies that the population mean varies rather than the interval.O Flawed. This interpretation makes an implication about individuals rather than the mean.Flawed. This interpretation implies that the mean is only for last week.O This is a reasonable interpretation In a survey, 1000 adults in a certain country were asked how many hours they worked in the previous week.Based on the results, a 95% confidence interval for mean number of hours worked was lower bound: 31hours and upper bound: 47 hours.Which of the following represents a reasonable interpretation of the result? For those that are notreasonable, explain the flaw.Interpretation #1: We are 95% confident that the mean number of hours worked by adults in this countryin the previous week was between 31 hours and 47 hours.Flawed. This interpretation implies that the population mean varies rather than the interval.Flawed. This interpretation makes an implication about individuals rather than the mean.O Flawed. This interpretation does not make it clear that the 95% is the probability that the mean iswithin the interval.O This is a reasonable interpretationInterpretation #2: 95% of adults in this country worked between 31 hours and 47 hours last week.O Flawed. This interpretation makes an implication about individuals rather than the mean.Flawed. This interpretation does not make it clear that the 95% is the probability that the mean iswithin the interval.Flawed. This interpretation implies that the mean is only for last week.This is a reasonable interpretationInterpretation #3: We are 95% confident that the mean number of hours worked by adults in a particulararea of this country in the previous week was between 31 hours and 47 hours.O Flawed. This interpretation makes an implication about individuals rather than the mean.Flawed. This interpretation implies that the population mean varies rather than the interval.O Flawed; the interpretation should be about the mean number of hours worked by adults in the wholecountry, not about adults in the particular area.This is a reasonable interpretation

Confidence interval used to obtain the range where the population true mean lies. It explain the…

Answered: In a survey, 1000 adults in a certain…

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 survey of 20 people asked, “If you’ve ever been married, how old were you when you were first married?” The results were: ?̅ = 22.3 years old and ? = 4.8 years. Construct a 95% confidence interval for the mean age at which people get married.
A group of 10 surgery patients had a mean weight of 240 pounds with a sample standard deviation of 25 pounds. Find a confidence interval for a sample for the true mean weight of all surgery patients with a 95% confidence level.
One year, the mean age of an inmate on death row was 40.7 years. A sociologist wondered whether the mean age of a death-row inmate has changed since then. She randomly selects 32 death-row inmates and finds that their mean age is 39.6, with a standard deviation of 8.4. Construct a 95% confidence interval about the mean age. What does the interval imply?
When you calculate a Confidence Interval (CI) for the difference between two population mean values, which of the following types of CIs indicate that the two mean values are significantly different? A. A Mixed CI B. A Negative CI C. A Positive CI
A surprising number of young adults (ages 19 to 25) still live in their parents' homes. A random sample by the National Institutes of Health included 2253 men and 2629 women in this age group. The survey found that 986 of the men and 923 of the women lived with their parents. Construct and interpret a 99% confidence interval for the difference in the true proportions of men and women aged 19 to 25 who live in their parents' homes. What conditions are met? (select all that apply) (Remember you check BOTH populations.) O 923 > 30 O 10(923) 30 O 2253 > 30 O a random sample V 2629 > 30 O 986 > 10 O 10(2629) 10 O 1706 > 10 O 923 > 10 O 10(986) < all men aged 19 to 25 O 10(2253) < all men aged 19 to 25 O O
57 out of 70 students said they were comfortable with “working in a workplace with a lot of activity,” and 38 out of 71 said they were comfortable with “doing group projects.” Find a 90% confidence interval for the difference between these two proportions.
An Internet service provider sampled 540 customers and found that 90 of them experienced an interruption in their service during the previous month. Construct a 99% confidence interval for the proportion of all customers who have experienced a service interruption. (Z-score corresponding to area with 99% on the left is 2.326; Z-score corresponding to area with 99.5% to the left is 2.576).
According to a recent study only 34% of adults in the United States could name all three branches of government. This was based on a survey given to a random sample of 1750 adults. Calculate a 95% confidence interval (z score=1.96) for the proportion of all U.S. adults who could name all three branches of government. SHOW YOUR WORK, no work=no credit
73 full time workers were surveyed on how many hours they spend watching television during the week. The mean was 3.2 hours with a standard deviation of 0.2 hours. Find a 95% confidence interval for the mean number of hours full time workers spend watching TV.
Sam computed a 90% confidence interval for mean from a specific random sample size n. He claims that at the 90% confidence level, his confidence interval contains mean. Is this claim correct
Suppose a sample of 30 Stats students are given an IQ test. If the sample has a standard deviation of 12.23 points, find a 90% confidence interval for the population standard deviation and interpret the result.
suppose a 95% confidence interval for a correlation is 0.32 to 0.48. Give a value for the population correlation p that would be plausible and a value that would be implausible

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