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If the alpha level is changed from p < .05 two-tailed, to p < .01 two-tailed, a. What happens to the boundaries for the critical region? [Select] b. What happens to the probability of a Type I error? [Select] A new antacid medicine is tested on n = 400 people, and researchers find its effect on upset stomach duration is not significant, as it reduces indigestion on average for just M = 0.2 hours (from 4 hours to 3.8 hours), standard deviation s = 1.2 hours. c. The researchers try to improve the medicine and test it on a new sample of n = 400 people. While they find that on average it still reduces indigestion for just M = 0.2 hours, it works more consistently across people, as shown by the standard deviation in the new sample being lower, s = 0.8 hours. What happens to the statistical power for determining if the improved medicine is significantly reducing headache duration, and why? [Select] d. The FDA tells the researchers they will approve of this new medicine after they run one more study with a larger sample, of n = 1,000 people. What happens to the Cohen's d effect size of this medicine when the sample size is increased to 1,000? [Select]

If the alpha level is changed from p < .05 two-tailed, to p < .01 two-tailed, a. What happens to the boundaries for the critical region? [Select] b. What happens to the probability of a Type I error? [Select] A new antacid medicine is tested on n = 400 people, and researchers find its effect on upset stomach duration is not significant, as it reduces indigestion on average for just M = 0.2 hours (from 4 hours to 3.8 hours), standard deviation s = 1.2 hours. c. The researchers try to improve the medicine and test it on a new sample of n = 400 people. While they find that on average it still reduces indigestion for just M = 0.2 hours, it works more consistently across people, as shown by the standard deviation in the new sample being lower, s = 0.8 hours. What happens to the statistical power for determining if the improved medicine is significantly reducing headache duration, and why? [Select] d. The FDA tells the researchers they will approve of this new medicine after they run one more study with a larger sample, of n = 1,000 people. What happens to the Cohen's d effect size of this medicine when the sample size is increased to 1,000? [Select]

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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If the alpha level is changed from p < .05 two-tailed, to p < .01 two-tailed, a. What happens to the boundaries for the critical region? [Select] b. What happens to the probability of a Type I error? [Select] A new antacid medicine is tested on n = 400 people, and researchers find its effect on upset stomach duration is not significant, as it reduces indigestion on average for just M = 0.2 hours (from 4 hours to 3.8 hours), standard deviation s = 1.2 hours. c. The researchers try to improve the medicine and test it on a new sample of n = 400 people. While they find that on average it still reduces indigestion for just M = 0.2 hours, it works more consistently across people, as shown by the standard deviation in the new sample being lower, s = 0.8 hours. What happens to the statistical power for determining if the improved medicine is significantly reducing headache duration, and why? [Select ] d. The FDA tells the researchers they will approve of this new medicine after they run one more study with a larger sample, of n = 1,000 people. What happens to the Cohen's d effect size of this medicine when the sample size is increased to 1,000? [Select]
Transcribed Image Text:If the alpha level is changed from p < .05 two-tailed, to p < .01 two-tailed, a. What happens to the boundaries for the critical region? [Select] b. What happens to the probability of a Type I error? [Select] A new antacid medicine is tested on n = 400 people, and researchers find its effect on upset stomach duration is not significant, as it reduces indigestion on average for just M = 0.2 hours (from 4 hours to 3.8 hours), standard deviation s = 1.2 hours. c. The researchers try to improve the medicine and test it on a new sample of n = 400 people. While they find that on average it still reduces indigestion for just M = 0.2 hours, it works more consistently across people, as shown by the standard deviation in the new sample being lower, s = 0.8 hours. What happens to the statistical power for determining if the improved medicine is significantly reducing headache duration, and why? [Select ] d. The FDA tells the researchers they will approve of this new medicine after they run one more study with a larger sample, of n = 1,000 people. What happens to the Cohen's d effect size of this medicine when the sample size is increased to 1,000? [Select]
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