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Before After 6.9 6.3 3.6 2.1 7.3 7.1 12.8 8.6 8.5 8.2 10.1 6.4 8.4 3.9 5.2 2.1

Before After 6.9 6.3 3.6 2.1 7.3 7.1 12.8 8.6 8.5 8.2 10.1 6.4 8.4 3.9 5.2 2.1

MATLAB: An Introduction with Applications
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 was conducted to measure the effectiveness of hypnotism in reducing pain. The measurements are centimeters on a pain scale before and after hypnosis. Assume that the paired sample data are simple random samples and that the differences have a distribution that is approximately normal. Construct a​ 95% confidence interval for the mean of the ​"beforeminus ​after" differences. Does hypnotism appear to be effective in reducing​ pain?

 

a. Construct a​ 95% confidence interval for the mean of the ​"beforeminus ​after" differences.

less than mu Subscript d less than

​(Round to two decimal places as​ needed.)

The image presents a numerical comparison of data before and after a certain event or intervention. The data is displayed in two rows: **Before:** - 6.9 - 3.6 - 7.3 - 12.8 - 8.5 - 10.1 - 8.4 - 5.2 **After:** - 6.3 - 2.1 - 7.1 - 8.6 - 8.2 - 6.4 - 3.9 - 2.1 This comparison suggests changes in the numerical values, with most values decreasing after the intervention. This could represent data such as test scores, temperature measurements, or other quantitative metrics. Further analysis might be required to determine the significance and cause of these changes.
Transcribed Image Text:The image presents a numerical comparison of data before and after a certain event or intervention. The data is displayed in two rows: **Before:** - 6.9 - 3.6 - 7.3 - 12.8 - 8.5 - 10.1 - 8.4 - 5.2 **After:** - 6.3 - 2.1 - 7.1 - 8.6 - 8.2 - 6.4 - 3.9 - 2.1 This comparison suggests changes in the numerical values, with most values decreasing after the intervention. This could represent data such as test scores, temperature measurements, or other quantitative metrics. Further analysis might be required to determine the significance and cause of these changes.
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