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 27 35 32 25 34 27 27 28 34 28 31 37 30 36 33 37 31 32 36 30 31 34 31 26 29 26 32 37 32 34 35 26 36 35 27 36 32 34 27 25 30 29 33 30 31 25 25 37 30 35 35 25 25 35 35 35 31 28 29 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 = 30.92 and s= 3.8633 for the 60 bottle design ratings. Use the Empirical Rule to create the intervals. (Round your answer to 3 decimal places.) x^2

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 27 35 32 25 34 27 27 28 34 28 31 37 30 36 33 37 31 32 36 30 31 34 31 26 29 26 32 37 32 34 35 26 36 35 27 36 32 34 27 25 30 29 33 30 31 25 25 37 30 35 35 25 25 35 35 35 31 28 29 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 = 30.92 and s= 3.8633 for the 60 bottle design ratings. Use the Empirical Rule to create the intervals. (Round your answer to 3 decimal places.) x^2

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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