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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.
Two individuals, player 1 and player 2, are competing in an auction to obtain a valuable object. Each player bids in a sealed envelope, without knowing the bid of the other player
First we look at these charts assuming that we know both the mean and the standard deviation of the process, that is μ and σ . These values represent the acceptable values (bench
Mean Absolute Deviation To avoid the problem of positive and negative deviations canceling out each other, we can use the Mean Absolute Deviation which is given by
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