A new sneaker claims that it can make male athletes jump higher. A sample of 47 male athleteswere asked to jump once with their own sneakers on and once wearing the new sneakers. Theaverage jump increased by 0.94 inches with the new sneakers with a standard deviation of 1.13inches. What is the upper bound of the 95% confidence interval for the average jump increase?|

Answered: Image /qna-images/answer/b3280799-3fde-4694-9c5f-2a3f9c6202b5.jpg

Answered: A new sneaker claims that it can make…

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 study is conducted to find the mean life of a certain manufacturer's car batteries. A random sample of 34 batteries is selected and a mean of 47.5 months with a standard deviation of 7.3 months is found. Find a 95% confidence interval for the mean battery life.
A random sample of 83 bicycle enthusiasts found the mean number of miles ridden over the summer is 684 with a standard deviation of 154.5. The 90% confidence interval for the true mean number of miles ridden over the summer for all bicycle enthusiasts is (655.79, 712.21). Which statement below is the correct interpretation of the confidence level? (A) There is a 90% chance the true mean number of miles ridden is between 655.79 and 712.21. (B) 90% of all bicycle enthusiasts ride between 655.79 and 712.21 miles over the summer. (C) We are 90% confident that a randomly selected cyclist will ride between 655.79 and 712.21 miles over the summer. (D) If 50 random samples of size n=83 were taken from the population of bicycle enthusiasts and a 90% confidence interval was calculated for each sample, then the true mean number of miles ridden would be contained within 45 of the calculated intervals, on average. (E) In repeated sampling, the mean number of miles ridden over the summer will be…
a group of 59 randomly selected students have a mean score of 29.5 with a standard deviation of 5.2 on a placement test. what is the 90% confidence interval for the mean score, u, of all students taking the test?
A statistical study is made to compare the % of smokers in small rural towns to the overall smoking rate of the US. Of 1500 asults selected randomly from small towns it is found that 285 of them smoke. With a cofidence interval of (017, 0.21). The CDC reports that 15.1% of all American adults smoke. Does the confidence interval suggest that smoking rate is higher in small towns than in the country overall?
An article claims that babies spend twice as much time in REM (rapid eye movement) sleep than adults. This implies that babies have an average of 6 hours of REM sleep per night. A doctor would like to test the hypotheses = 6 versus ≠ 6 where = the true mean amount of REM sleep per night for babies. A 95% confidence interval for the true mean amount of REM sleep per night for babies is (5.45, 6.25) hours. Based on the confidence interval, what conclusion would you make for a test of these hypotheses? The 95% confidence interval include as a plausible value, so we H0. We convincing evidence that the true mean amount of REM sleep per night for babies 6 hours.
A sample of 100 postal employees found that the mean time these employees had worked for the postal service was eight years. Assume we know the standard deviation of the population of times postal service employees have spent with the postal service is five years. Find the 98% confidence interval for the mean time the population of postal service employees have spent with the postal service.
A random sample of high school seniors were asked whether they were applying for college. The resulting confidence interval for the proportion of students applying for college is (0.65,0.69). What is the margin of error?
Many teens have posted profiles on sites such as Facebook. A sample survey asked random samples of teens with online profile if they included false information in their profiles. Of 170 younger teens (ages 12 to 17) polled, 117 said "Yes." Of 317 older teens (ages 15 to 17) polled, 152 said "Yes." A 95% confidence interval for py - Po = the true difference in the proportion of younger teens and older teens who include false information in their profile is 0.12 to 0.297. Does the confidence interval give convincing evidence of a difference in the true proportions of younger and older teens who include false information in their profiles? Explain your answer. O Even though this confidence interval does not include 0, this might not occur again in different samples. There is not enough evidence to make a conclusion regarding the true difference in the proportion of younger teens and older teens who include false information on their profiles. No. We are 95% confident that the interval…
A random sample of 75 customers was polled. .626 and the 95% confidence interval
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