Which of the following statements is true about the confidence interval for a population proportion? O Itis equal to the population proportion plus or minus a calculated amount called the standard error. O The confidence interval for a proportion will always contain the true population proportion.

Which of the following statements is true about the confidence interval for a population proportion? O Itis equal to the population proportion plus or minus a calculated amount called the standard error. O The confidence interval for a proportion will always contain the true population proportion.

Name: Which of the following statements is true about theconfidence interva
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Description: Which of the following statements is true about theconfidence interval for a population proportion?Ot is equal to the population proportion plus or minus acalculated amount called the standard error.O The confidence interval for a proportion will al

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 one of the following statements about confidence intervals is false? Given the same sample of data, a 99% confidence interval will be wider than a 95% confidence interval. The size of the population affects the width of a confidence interval. The sample statistic determines the center of the confidence interval. The value of z* affects the width of a confidence interval. The general format of a confidence interval is “sample statistic ± margin of error.”
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.
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.
If we find a 95% confidence interval using a sample, then we can say... 95% of individuals will fall on that interval there is a 5% chance the population proportion is NOT on the interval. 95% of our samples will fall on that interval. No answer text provided.
You are interested in finding a 98% confidence interval for the average commute that non-residential students have to their college. The data below show the number of commute miles for 11 randomly selected non-residential college students. Round answers to 3 decimal places where possible. 18 18 27 17 15 7 11 15 9 12 19 a. With 98% confidence the population mean commute for non-residential college students is between _____ and____miles. b. If many groups of 11 randomly selected non-residential college students are surveyed, then a different confidence interval would be produced from each group. About (____) percent of these confidence intervals will contain the true population mean number of commute miles and about(_____) percent will not contain the true population mean number of commute miles.
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.
In a survey, 23 people were asked how much they spent on their child's last birthday gift. The results were roughly bell-shaped with a mean of $47 and standard deviation of $9. Construct a confidence interval at a 80% confidence level.Give your answers to one decimal place.________ ± ________Interpret your confidence interval in the context of this problem.
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.
Data are used either to test a hypothesis or to construct a confidence interval, but not both. Explain.
Statistics students surveyed 135 students at Tallahassee Community College. From their data we are 95% confident that between 44.7% and 61.9% of all TCC students are female. The students realize that this interval contains a large margin of error. What can they do to make a narrower interval? 1. Survey more students. 2. Use a 99% confidence level. 3. Survey more students and use a 99% confidence interval. 4. None of the other choices.
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Use the sample information. X = 40, 0 = 4, and n= 20 to calculate the following confidence intervals assuming the sample is from a normal population. A. 90% confidence from____to____ (Round 4 decimal places.) B. 95% confidence interval is from_____to_____ (Round 4 decimal places.) C. 99% confidence interval is from______to_____ (Round 4 decimal places.) D. Describe how the intervals change as you increase the confidence level. A. The interval gets narrower as the confidence level increases B. The interval gets wider as a confidence level decreases C. The interval gets wider as a confidence level increases D. The interval stays the same as the confidence level increases