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( 1 ) In the first part of this project, you want to test if , before the introduction of caloric labeling, the daily caloric

(1) In the first part of this project, you want to test if, before the introduction of caloric labeling, the daily
caloric intake by students dining in dining halls A and B was indeed similar. To do this, start by
calculating the number of students surveyed at each dining hall. In cell F2, input the number of
students surveyed in dining hall A; in cell G2, input the number of students surveyed in dining hall B.
(HINT: use the COUNTIF function in Excel). Calculate sample mean of the caloric intake for
students dining in A and B. Input your results in cells F3 and G3 respectively. Calculate the observed
sample variance of the caloric intake for students dining in A and B. Input your results in cells F4 and
G4 respectively. (Use the VAR.S function in Excel).
(2) In cell F6, calculate the pooled variance. (HINT: Check page 24 of Chapter_8_Slides).
(3) Using t-value for a 95% confidence interval as well as the pooled variance derived in the previous
step, calculate the confidence limits for the mean difference in daily caloric intake in dining halls A
and B before the introduction of caloric labeling. Input your t-value in cell F7, your lower confidence
limit in cell F8, and your upper confidence limit in cell G8. Does your confidence interval include 0?
Answer YES or NO in cell H8.(HINT: Use the T.INV.2T function in Excel to help you derive
the appropriate t-value; Check page 25 of Chapter_8_Slides).
(4) In the second part of the project, you want to test if the daily caloric intake by students dining in
dining hall A changed after the introduction of caloric labeling; thus, for elements (4) through (6),
only include in your calculations the students dining in dining hall A. In column D (cells starting
with D2), calculate the difference in caloric intake before and after introduction of labelling for each
student in dining hall A (define the difference as the caloric intake after minus the caloric intake
before). Calculate point estimate for the population mean paired difference and input it in cell F11.
(Although this element will not be graded directly, these are necessary calculations for other elements
that will be graded.)
(5) In cell F13, calculate the sample standard deviation of the difference. (Use the STDEV.S function in
Excel).
(6) Using t-value for a 95% confidence interval, calculate the confidence limits for the difference in
means between the daily caloric intake in dining hall A before and after the introduction of caloric
labeling. Input your t-value in cell F14, your lower confidence limit in cell F15, and your upper
confidence limit in cell G15. Does your confidence interval include 0? Answer YES or NO in
cell H15.(HINT: Use the T.INV.2T function in Excel to help you derive the appropriate t-value;
Check page 7 of Chapter_8_Slides).

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