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 "before-after" differences. Does hypnotism appear to be effective in reducing pain? Before After 6.4 6.8 4.1 2.5 10.8 7.6 Construct a 95% confidence interval for the mean of the "before-after" differences. <<(Round to two decimal places as needed.) 12.3 8.1 10.8 8.7 8.3 6.5 6.0 3.4 3.5 2.3
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 "before-after" differences. Does hypnotism appear to be effective in reducing pain? Before After 6.4 6.8 4.1 2.5 10.8 7.6 Construct a 95% confidence interval for the mean of the "before-after" differences. <<(Round to two decimal places as needed.) 12.3 8.1 10.8 8.7 8.3 6.5 6.0 3.4 3.5 2.3
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Chapter1: Starting With Matlab
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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 "before-after" differences. Does
hypnotism appear to be effective in reducing pain?
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Transcribed Image Text: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 "before-after" differences. Does
hypnotism appear to be effective in reducing pain?
B
2
View an example Get more help -
W
S
X
Before
After
H
and
Construct a 95% confidence interval for the mean of the "before-after differences.
<< (Round to two decimal places as needed.)
#
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D
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6.8
$
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