MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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ASSUMPTIONS
1. The populations from which the samples are taken have a normal distribution.
2. The populations have the same variance or standard deviation
3. The samples have randomly-picked members and that the samples are independent of
each other.
4. No interacting effect between the subjects and the students
CALCULATIONS
Sum of
Degree of
freedom
Computed
Source of variation
Mean square
P
squares
Raters
Restaurants
Error
Total
ANALYSIS
CONCLUSION
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Transcribed Image Text:ASSUMPTIONS 1. The populations from which the samples are taken have a normal distribution. 2. The populations have the same variance or standard deviation 3. The samples have randomly-picked members and that the samples are independent of each other. 4. No interacting effect between the subjects and the students CALCULATIONS Sum of Degree of freedom Computed Source of variation Mean square P squares Raters Restaurants Error Total ANALYSIS CONCLUSION
PROBLEM STATEMENT 4
Suppose that a fast-food chain having four branches in a certain geographical area wants to
evaluate the service at these restaurants. The customer services director for the chain hires 24
investigators with varied experiences in food-service evaluations to act as raters. After
preliminary consultations, the 24 investigators are stratified into six blocks of four-based on food
service evaluation experience-so that the four most experienced investigators are placed in block
1, the next four most experienced investigators are placed in block 2, and so on.
Within each of the six homogenous blocks, the four raters are then randomly assigned to evaluate
the service at a particular restaurant using a rating scale from 0 (low) to 100 (high). The results
are summarized in the table shown below.
RESTAURANTS
BLOCKS OF
A.
B
RATERS
1
70
61
82
74
2
77
75
88
76
3
76
67
90
80
4
80
63
96
76
5
84
66
92
84
78
68
98
86
Use a 0.01 level of significance to test the hypothesis that
(a) service performance of the four restaurants are equal; (b) there is no significant differences
among the raters.
НYРОТHESIS
The rating of the investigators in the four restaurants are being compared in terms of two
factors:
Differences in the rating of the raters (investigators)
• Differences in the food-service performance of the restaurants
Thus, the hypotheses are:
Ho:
На:
Но:
На:
Test at a= 0.01
Critical Region: F; >
F1>
V2 =
v2 =
at vi =
at vi =
expand button
Transcribed Image Text:PROBLEM STATEMENT 4 Suppose that a fast-food chain having four branches in a certain geographical area wants to evaluate the service at these restaurants. The customer services director for the chain hires 24 investigators with varied experiences in food-service evaluations to act as raters. After preliminary consultations, the 24 investigators are stratified into six blocks of four-based on food service evaluation experience-so that the four most experienced investigators are placed in block 1, the next four most experienced investigators are placed in block 2, and so on. Within each of the six homogenous blocks, the four raters are then randomly assigned to evaluate the service at a particular restaurant using a rating scale from 0 (low) to 100 (high). The results are summarized in the table shown below. RESTAURANTS BLOCKS OF A. B RATERS 1 70 61 82 74 2 77 75 88 76 3 76 67 90 80 4 80 63 96 76 5 84 66 92 84 78 68 98 86 Use a 0.01 level of significance to test the hypothesis that (a) service performance of the four restaurants are equal; (b) there is no significant differences among the raters. НYРОТHESIS The rating of the investigators in the four restaurants are being compared in terms of two factors: Differences in the rating of the raters (investigators) • Differences in the food-service performance of the restaurants Thus, the hypotheses are: Ho: На: Но: На: Test at a= 0.01 Critical Region: F; > F1> V2 = v2 = at vi = at vi =
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