hw.anova.CASE2.Blocking

This blocking approach moving data around as needed

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Unformatted text preview: his blocking approach (moving data around as needed so that within each block the elements are closely matched) should improve the accuracy of the test of the brands (the main treatment test). In this case, the blocking or matching is the best it can be: each element within a block is the same expert, so each expert constitutes her own block. (The data have already been matched so that blocking applies.) Our testing will be at alpha = 0.05. The tests are: a. We should verify whether the brand populations are normally distributed, using CHI-SQ, but we'll assume they ARE normally distributed. Thus, just state that we assume the brand populations are normal. b...
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This note was uploaded on 01/27/2013 for the course STAT 385 taught by Professor Szatrowski during the Spring '08 term at Rutgers.

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