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) 32 27 23 26 22 33 43 39 39 33 31 34 30 43 26 43 36 39 44 41 24 34 42 26 45 45 34 23 28 48 33 28 33 31 32 40 30 43 38 48 42 38 37 25 39 38 34 31 36 45 24 40 30 23 31 31 35 36 33 41 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 α = .05, and note that x¯�¯ = 34.58 and s = 6.9631 for the 60 bottle design ratings. Use the Empirical Rule to create the intervals. (Round your answer to 3 decimal places.)
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) 32 27 23 26 22 33 43 39 39 33 31 34 30 43 26 43 36 39 44 41 24 34 42 26 45 45 34 23 28 48 33 28 33 31 32 40 30 43 38 48 42 38 37 25 39 38 34 31 36 45 24 40 30 23 31 31 35 36 33 41 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 α = .05, and note that x¯�¯ = 34.58 and s = 6.9631 for the 60 bottle design ratings. Use the Empirical Rule to create the intervals. (Round your answer to 3 decimal places.)
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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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)
32 | 27 | 23 | 26 | 22 | 33 | 43 | 39 | 39 | 33 |
31 | 34 | 30 | 43 | 26 | 43 | 36 | 39 | 44 | 41 |
24 | 34 | 42 | 26 | 45 | 45 | 34 | 23 | 28 | 48 |
33 | 28 | 33 | 31 | 32 | 40 | 30 | 43 | 38 | 48 |
42 | 38 | 37 | 25 | 39 | 38 | 34 | 31 | 36 | 45 |
24 | 40 | 30 | 23 | 31 | 31 | 35 | 36 | 33 | 41 |
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 α = .05, and note that x¯�¯ = 34.58 and s = 6.9631 for the 60 bottle design ratings. Use the
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