Elissa Epel, a professor of health psychology at the University of California-San Francisco, studied women in high- and

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Elissa Epel A Professor Of Health Psychology At The University Of California San Francisco Studied Women In High And 1 (39.59 KiB) Viewed 45 times

Elissa Epel A Professor Of Health Psychology At The University Of California San Francisco Studied Women In High And 2 (33.79 KiB) Viewed 45 times

Elissa Epel, a professor of health psychology at the University of California-San Francisco, studied women in high- and low-stress situations. She found that women with higher cortisol responses to stress ate significantly more sweet food and consumed more calories on the stress day compared with those with low cortisol responses, and compared with themselves on lower stress days. Increases in negative mood in response to the stressors were also significantly related to greater food consumption. These results suggest that psychophysiological responses to stress may influence subsequent eating behavior. Over time, these alterations could impact both weight and health. You are interested in studying whether students living on campus or students who commute to campus have higher cortisol levels. You ask a sample. of n, 25 students living on campus and n, 30 students who commute to campus to record their afternoon cortisol levels for a week. 0.131. The average cortisol level for The average cortisol level for students living on campus was M, 0.259 ug/dl, with a standard deviation of s, students who commute to campus was M, 0.237 µg/dl, with a standard deviation of s, -0.128. To develop a confidence interval for the population mean difference ,- ,, you need to calculate the estimated standard error of the difference of sample means, SMI-M2). The estimated standard error is S(M1-M2) Use the Distributions tool to develop a 99% confidence interval for the difference in the mean cortisol level of students living on campus and students who commute to campus.

Select a Distribution The 99% confidence interval is Ilp 0 12/ The new confidence interval is Distributions This means that you are % confident that the unknown difference between the mean cortisol level of the population of students living on campus and the population of students who commute to campus is located within this interval. Use the tool to construct a 90% confidence interval for the population mean difference. The 90% confidence interval is This means that you are % confident that the unknown difference between the mean cortisol level of the population of students living on campus and the population of students who commute to campus is located within interval. than the original one, because the new level of confidence is to than the original one.