4. Consider the sample of 60 bottle design ratings given in the table (below).A Sample of Bottle Design Ratings (Composite Scores for a Systematic Sample of 60 Shoppers) Consider the sample of 60 bottle design ratings given in the table (below).A Sample of Bottle Design Ratings (Composite Scores for a Systematic Sample of 60 Shoppers)273842484835332947242946384324412527333027464840363334262632452632424232473736464023303423474139413644323249454549483632Epicture Click here for the Excel Data FileUse these data to carry out a chi-square goodness-of-fit test to determine whether the population of all waiting times is normallydistributed. Use a = .05, and note that = 36.78 and s= 7.9811 for the 60 bottle design ratings. Use the Empirical Rule to create theintervals. (Round your answer to 3 decimal places.)x^2

Calculation for chi-square test : Ratings observed shoppers (O) Expected shoppers E = ∑On O-E…

Consider the sample of 60 bottle design ratings given in the table (below). A Sample of Bottle Design Ratings (Composite Scores for a Systematic Sample of 60 Shoppers) 27 38 42 48 48 35 33 29 47 24 29 46 38 43 41 25 27 33 30 27 46 48 40 33 34 26 26 32 45 26 32 42 42 32 47 37 36 46 40 23 30 34 23 47 41 39 41 36 44 32 32 49 45 45 49 48 36 32 picture Click here for the Excel Data File Use these data to carry out a chi-square goodness-of-fit test to determine whether the population of all waiting times is normally distributed. Use a = .05, and note that ī = 36.78 and s=7.9811 for the 60 bottle design ratings. Use the Empirical Rule to create the intervals. (Round your answer to 3 decimal places.) x^2 234 24 m mm

Consider the sample of 60 bottle design ratings given in the table (below). A Sample of Bottle Design Ratings (Composite Scores for a Systematic Sample of 60 Shoppers) 27 38 42 48 48 35 33 29 47 24 29 46 38 43 41 25 27 33 30 27 46 48 40 33 34 26 26 32 45 26 32 42 42 32 47 37 36 46 40 23 30 34 23 47 41 39 41 36 44 32 32 49 45 45 49 48 36 32 picture Click here for the Excel Data File Use these data to carry out a chi-square goodness-of-fit test to determine whether the population of all waiting times is normally distributed. Use a = .05, and note that ī = 36.78 and s=7.9811 for the 60 bottle design ratings. Use the Empirical Rule to create the intervals. (Round your answer to 3 decimal places.) x^2 234 24 m mm

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

4. Consider the sample of 60 bottle design ratings given in the table (below).

A Sample of Bottle Design Ratings (Composite Scores for a Systematic Sample of 60 Shoppers)

Consider the sample of 60 bottle design ratings given in the table (below).
A Sample of Bottle Design Ratings (Composite Scores for a Systematic Sample of 60 Shoppers)
27
38
42
48
48
35
33
29
47
24
29
46
38
43
24
41
25
27
33
30
27
46
48
40
36
33
34
26
26
32
45
26
32
42
42
32
47
37
36
46
40
23
30
34
23
47
41
39
41
36
44
32
32
49
45
45
49
48
36
32
Epicture Click here for the Excel Data File
Use these data to carry out a chi-square goodness-of-fit test to determine whether the population of all waiting times is normally
distributed. Use a = .05, and note that = 36.78 and s= 7.9811 for the 60 bottle design ratings. Use the Empirical Rule to create the
intervals. (Round your answer to 3 decimal places.)
x^2

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