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Consider the sample of 60 package design ratings given in the table below.
A Sample of Package Design Ratings
(Composite Scores for a Systematic Sample of 60 Shoppers)
34 33 33 29 26 33 28 25 32 33
32 25 27 33 22 27 32 33 32 29
24 30 20 34 31 32 30 35 33 31
32 28 30 31 31 33 29 27 34 31
31 28 33 31 32 28 26 29 32 34
32 30 34 32 30 30 32 31 29 33
Use these data to carry out a chi-square goodness of fit test to determine if the population of all package design ratings is normally distributed. Use α = 0.05, and note that x bar = 30.35 and s = 3.1073 for the 60 package design ratings.
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The box plot displays the diversity of data for the totexp; the data ranges from 30 being the minimum value and 390 being the maximum value. The box plot is positively skewed at 1.
Level of Significance: α The main purpose of hypothesis testing is not to question the computed value of the sample statistic, but to make judgment about the difference between
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WHAT YOU MEAN BY UTILITY OF MANAGERIALECONOMICS
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