CONFIDENCE INTERVALS FOR ONE POPULATION MEAN A study is conducted on the amount of time Alzheimer's patients spend in stage IV sleep. Number of minutes spent is Stage IV sleep is recorded for thirty-six patients. For this sample, patients spent on average 35 minutes in stage IV sleep over a 24 hour period of time, with a standard deviation of 3 minutes. Compute a 95% confidence for the average number of minutes Alzheimer's patients spend in stage IV sleep. What is the standard error for computing the 95% confidence interval? Round the standard error to the 10ths place. You must show your work to receive credit.

CONFIDENCE INTERVALS FOR ONE POPULATION MEAN A study is conducted on the amount of time Alzheimer's patients spend in stage IV sleep. Number of minutes spent is Stage IV sleep is recorded for thirty-six patients. For this sample, patients spent on average 35 minutes in stage IV sleep over a 24 hour period of time, with a standard deviation of 3 minutes. Compute a 95% confidence for the average number of minutes Alzheimer's patients spend in stage IV sleep. What is the standard error for computing the 95% confidence interval? Round the standard error to the 10ths place. You must show your work to receive credit.

Name: CONFIDENCE INTERVALS FOR ONE POPULATION MEANA study is conducted on t
Uploaded: 2024-03-20T07:07:12.000Z
Channel: Bartleby
Description: CONFIDENCE INTERVALS FOR ONE POPULATION MEANA study is conducted on the amount of time Alzheimer'spatients spend in stage IV sleep. Number of minutes spent isStage IV sleep is recorded for thirty-six patients. For thissample, patients spent on avera

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Interpet the data using confidence interval estimation for a single parameter.
At a factory, batteries are produced with a standard deviation of 3.2 months. In a sample of 81 batteries, the mean life expectancy is 15.6 months. Find a 90% confidence interval estimate for the life expectancy of all batteries produced at the plant.
A study of 420,015 cell phone users found that 139 of them developed cancer of the brain or nervous system. Prior to this study of cell phone use, the rate of such cancer was found to be 0.0212% for those not using cell phones. Complete parts (a) and (b). a. Use the sample data to construct a 90% confidence interval estimate of the percentage of cell phone users who develop cancer of the brain or nervous system. %<p<%(Round to three decimal places as needed.) b. Do cell phone users appear to have a rate of cancer of the brain or nervous system that is different from the rate of such cancer among those not using cell phones? Why or why not?
A study of 420,008 cell phone users found that 137 of them developed cancer of the brain or nervous system. Prior to this study of cell phone use, the rate of such cancer was found to be 0.0338% for those not using cell phones. Complete parts (a) and (b). a) Use the sample data to construct a 95% confidence interval estimate of the percentage of cell phone users who develop cancer of the brain or nervous system. b) Does the method appear to be effective?
An automobile manufacturer needs to estimate the average highway fuel economy (miles per gallon) for a new truck that will be sold starting next year. A random sample of 63 trucks were tested for highway fuel economy and the sample had a mean of 27.1 miles per gallon with a standard deviation of 1.3 miles per gallon.Using a 95% confidence level, determine the margin of error,E, and a confidence interval for the average highway fuel economy of this new truck. Report the confidence interval using interval notation. Round solutions to two decimal places, if necessary.The margin of error is given by E=.A 95% confidence interval is given by
A tire manufacturer tested the braking performance of one of its tire models on a test track. The company tried the tires on 10 different cars, recording the stopping distance for each car on both wet and dry pavement. Results are shown in the table. a) Write a 95% confidence interval for the difference in mean stopping distance between dry and wet pavement. Be sure to check the appropriate assumptions and conditions, and explain what your interval means. Stopping Distance (Ft) Car # Dry Pavement Wet Pavement 1 150 201 2 147 220 3 136 192 4 134 146 5 130 182 6 134 173 7 134 202 8 128 180 9 136 192 10 158 206