Nine experts rated two brands of 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 accompanying data table contains the ratings accumulated over all four characteristics. Complete parts (a) through (d) below. E Click the icon to view the data table. a. At the 0.10 level of significance, is there evidence of a difference in the mean ratings between the two brands? Let u, be the mean rating for brand A and uz be the mean rating for brand B. Determine the null and alternative hypotheses for this test. O A. Ho: Ho 20 (where Po "H -2) OB. Hg: Ho = 0 (where up =H1 -2) H: Ho #0 Data Table H;: PD <0 OD. Hg: Ho s0 (where Ho =H1 -2) OC. Ho: Ho *0 (where Po =H1 -P2) H: Ho =0 H,: Hp >0 Expert C.C. Brand A 22 Brand B 24 The test statistic is tSTAT =. (Type an integer or a decimal. Round to two decimal places as needed.) S.E. 23 23 E.G 18 19 В. 23 25 The critical value(s) is(are). C.M. 23 24 C.N. 24 25 (Type integers or decimals. Round to two decimal places as needed. Use a comma to separate answers as needed.) G.N. 25 24 Since the test statistic |the critical value(s). | Ho- There is V evidence to conclude that the mean ratings are different between the two brands. R.M. 23 24 P.V. 23 25 b. What assumption is necessary about the population distribution in order to perform this test? Print Done O A. It must be assumed that the distribution of the differences between the measurements is approximately normal. O B. It must be assumed that the distribution of the differences between the measurements is skewed. Oc. It must be assumed that the distribution of the differences between the measurements is approximately uniform. c. Determine the p-value in (a) and interpret its meaning. The test statistic gives a p-value of
Nine experts rated two brands of 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 accompanying data table contains the ratings accumulated over all four characteristics. Complete parts (a) through (d) below. E Click the icon to view the data table. a. At the 0.10 level of significance, is there evidence of a difference in the mean ratings between the two brands? Let u, be the mean rating for brand A and uz be the mean rating for brand B. Determine the null and alternative hypotheses for this test. O A. Ho: Ho 20 (where Po "H -2) OB. Hg: Ho = 0 (where up =H1 -2) H: Ho #0 Data Table H;: PD <0 OD. Hg: Ho s0 (where Ho =H1 -2) OC. Ho: Ho *0 (where Po =H1 -P2) H: Ho =0 H,: Hp >0 Expert C.C. Brand A 22 Brand B 24 The test statistic is tSTAT =. (Type an integer or a decimal. Round to two decimal places as needed.) S.E. 23 23 E.G 18 19 В. 23 25 The critical value(s) is(are). C.M. 23 24 C.N. 24 25 (Type integers or decimals. Round to two decimal places as needed. Use a comma to separate answers as needed.) G.N. 25 24 Since the test statistic |the critical value(s). | Ho- There is V evidence to conclude that the mean ratings are different between the two brands. R.M. 23 24 P.V. 23 25 b. What assumption is necessary about the population distribution in order to perform this test? Print Done O A. It must be assumed that the distribution of the differences between the measurements is approximately normal. O B. It must be assumed that the distribution of the differences between the measurements is skewed. Oc. It must be assumed that the distribution of the differences between the measurements is approximately uniform. c. Determine the p-value in (a) and interpret its meaning. The test statistic gives a p-value of
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Please answer all

Transcribed Image Text:c. Determine the p-value in (a) and interpret its meaning.
The test statistic gives a p-value of.
Data Table
(Type an integer or a decimal. Round to three decimal places as needed.)
Interpret the meaning of the p-value in (a). Choose the correct answer below.
O A. The p-value is the probability of obtaining a sample mean difference less extreme than this one if the population mean ratings for the two brands are the same.
Brand A
Brand B
Expert
С.С.
22
24
B. The p-value is the probability of obtaining a sample mean difference at least as extreme as this one if the population mean ratings for the two brands are the same.
S.E.
23
23
C. The p-value is the probability of failing to reject the null hypothesis when it is actually false.
E.G
18
19
B.I.
23
25
d. Construct a 90% confidence interval estimate of the difference in the mean ratings between the two brands. Recall that up = H1 - H2, where p, is the mean rating for brand A and µ, is the mean rating for brand B.
C.M.
23
24
C.N.
24
25
G.N.
25
24
The 90% confidence interval estimate is
SHDS
R.M.
23
24
(Type integers or decimals. Round to two decimal places as needed.)
P.V.
23
25

Transcribed Image Text:Nine experts rated two brands of 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 accompanying data table contains the ratings accumulated
over all four characteristics. Complete parts (a) through (d) below.
%3D
Click the icon to view the data table.
a. At the 0.10 level of significance, is there evidence of a difference in the mean ratings between the two brands?
Let µ, be the mean rating for brand A and µ, be the mean rating for brand B. Determine the null and alternative hypotheses for this test.
A. Ho: HD 20 (where Hp = H1 - H2)
H1: HD
B. Ho: HD = 0 (where µp = H1 -H2)
Data Table
<0
H1: HD #0
O c. Ho: HD 0 (where Hp = µ1 - H2)
H1: HD = 0
O D. Ho: HD < 0 (where HD = H1 - H2)
H1: HD >0
Brand A
Brand B
Expert
С.С.
22
24
The test statistic is tsTAT =:
S.E.
23
23
(Type an integer or a decimal. Round to two decimal places as needed.)
E.G
18
19
В.
23
25
The critical value(s) is(are):
C.M.
23
24
C.N.
24
25
(Type integers or decimals. Round to two decimal places as needed. Use a comma to separate answers as needed.)
G.N.
25
24
R.M.
23
24
Since the test statistic
the critical value(s),
Ho. There is
evidence to conclude that the mean ratings are different between the two brands.
P.V.
23
25
b. What assumption is necessary about the population distribution in order to perform this test?
Print
Done
A. It must be assumed that the distribution of the differences between the measurements is approximately normal.
B. It must be assumed that the distribution of the differences between the measurements is skewed.
C. It must be assumed that the distribution of the differences between the measurements is approximately uniform.
c. Determine the p-value in (a) and interpret its meaning.
The test statistic gives a p-value of
(Type an integer or a decimal. Round to three decimal places as needed.)
Expert Solution
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