QUESTION 5 [9m] Nine experts rated two brands of Colombian coffee in a taste-testing experiment. A rating on a 7- point scale (1 = extremely unpleasing, 7 = extremely pleasing) is given for each of four characteristics: taste, aroma, richness, and acidity. The following data display the ratings accumulated over all four characteristics. Coffee SELF Test result: (a) At the 0.05 level of significance, is there evidence of a difference in the mean ratings between the two brands? (b) What assumption is necessary about the population distribution in order to perform this test? (c) Determine the p-value in (a) and interpret its meaning.
QUESTION 5 [9m] Nine experts rated two brands of Colombian coffee in a taste-testing experiment. A rating on a 7- point scale (1 = extremely unpleasing, 7 = extremely pleasing) is given for each of four characteristics: taste, aroma, richness, and acidity. The following data display the ratings accumulated over all four characteristics. Coffee SELF Test result: (a) At the 0.05 level of significance, is there evidence of a difference in the mean ratings between the two brands? (b) What assumption is necessary about the population distribution in order to perform this test? (c) Determine the p-value in (a) and interpret its meaning.
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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QUESTION 5 [9m]
Nine experts rated two brands of Colombian coffee in a taste-testing experiment. A rating on a 7- point scale (1 = extremely unpleasing, 7 = extremely pleasing) is given for each of four characteristics: taste, aroma, richness, and acidity. The following data display the ratings accumulated over all four characteristics. Coffee SELF Test result:
(a) At the 0.05 level of significance, is there evidence of a difference in the mean ratings between the two brands?
(b) What assumption is necessary about the population distribution in order to perform this test?
(c) Determine the p-value in (a) and interpret its meaning.
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