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Unformatted text preview:  Interfering factors in the comparison of two sample means using unpaired samples may inflate the pooled estimate of variance of test results. It is possible to pair the measurements. Only the value of one variable is changed among the two members of each matched pair, but everything else is nearly the same (as closely as possible) for the members of the pairs. Then the difference between the members of a pair becomes the important variable, which will be examined by a ttest. We test Is the mean difference significantly different from zero? Statistical Inference for the Mean: ttest Comparison of paired samples: Statistical Inference for the Mean: ttest Comparison of paired samples: methods two e between th difference real no : = d H : a H test) tailed (two d test) tailed (one or < d d Pair No. 1 2 3 4 5 6 n Sample A x A1 x A2 x A3 x A4 x A5 x A6 ... x An Sample B x B1 x B2 x B3 x B4 x B5 x B6 x Bn d = x Ai x Bi x A1 x B1 x A2 x B2 x A3 x B3 x A4...
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This note was uploaded on 02/13/2012 for the course MATH 2320 taught by Professor Glyn during the Fall '11 term at Minnesota.
 Fall '11
 Glyn
 Math, Factors, Variance

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