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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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X 110 120 130 120 140 135 155 160 165 155 Y 12 18 20 15 25 30 35 20 25 10
Analysis of variance allows us to test whether the differences among more than two sample means are significant or not. This technique overcomes the drawback of the method used in
simplified formulae
mark number of student 0-10 4 10-20 8 20-30 11 30-40 15 40-50 12 50-60 6 calculate frequency distribution
Now, let's look at a different linear combination. Suppose we are interested n comparing the average mean log income for no college education ( 16). 1. Write out the linear com
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