these are the blank options in order 3277.14 , 52.25 , 1747.81 , 61173.29 398, -
ID: 3063252 • Letter: T
Question
these are the blank options in order
3277.14 , 52.25 , 1747.81 , 61173.29
398, -296 , 256 , -370 to 61429 , -257, -142, -114
90, 5 , 95 , 10
256, -370, -351, -296 to -142, -161, -257, -114
75, 90, 10, 5
narrower , wider greater , less
ent Question 6. Confidence intervals for estimating the difference in population means Aa Aa 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 in the dorms or students living off campus consume more calories. You ask a sample of n 35 students living in the dorms and n2 40 students living off campus to record their daily caloric intake for a week. The average daily caloric intake for students living in the dorms was M 2,423 calories, with a standard deviation of s1-237. The average daily caloric intake for students living off campus was M2 -2,679 calories, with a standard deviation of s2 256. To develop a confidence interval for the population mean difference 1-2, you need to calculate the estimated standard error of the difference of sample means, S(M1-M2). The estimated standard error is sM2) Use the Distributions tool to develop a 95% confidence interval for the difference in the mean daily caloric intake of students living in the dorms and students living off campus. Select a Distribution Distributions
Explanation / Answer
Result:
these are the blank options in order
1). 52.25
2). -370 to -142
3). 95
4). -351, to -161
5). 90
6).
narrower
less
Standard error =
Population 1 Sample
Sample Size
35
Sample Mean
2423
Sample Standard Deviation
237
Population 2 Sample
Sample Size
40
Sample Mean
2679
Sample Standard Deviation
256
Intermediate Calculations
Population 1 Sample Degrees of Freedom
34
Population 2 Sample Degrees of Freedom
39
Total Degrees of Freedom
73
Pooled Variance
61173.2877
Standard Error
57.2463
Difference in Sample Means
-256.0000
for the Difference Between Two Means
Data
Confidence Level
95%
Intermediate Calculations
Degrees of Freedom
73
t Value
1.9930
Interval Half Width
114.0917
Confidence Interval
Interval Lower Limit
-370.0917
Interval Upper Limit
-141.9083
Data
Confidence Level
90%
Intermediate Calculations
Degrees of Freedom
73
t Value
1.6660
Interval Half Width
95.3721
Confidence Interval
Interval Lower Limit
-351.3721
Interval Upper Limit
-160.6279
Population 1 Sample
Sample Size
35
Sample Mean
2423
Sample Standard Deviation
237
Population 2 Sample
Sample Size
40
Sample Mean
2679
Sample Standard Deviation
256
Intermediate Calculations
Population 1 Sample Degrees of Freedom
34
Population 2 Sample Degrees of Freedom
39
Total Degrees of Freedom
73
Pooled Variance
61173.2877
Standard Error
57.2463
Difference in Sample Means
-256.0000
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