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

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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
Transcribed Image Text: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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