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- W2021304891 abstract "In consulting situations it is often difficult to select the most appropriate two-sample test for a particular situation. The objective of this research was to determine which two-sample test procedures were the most powerful when there were small differences in variability between the populations. A variety of skewed and symmetric distributions with unequal and equal variances were used in a Monte Carlo study to estimate the size and power of these tests. The tests maintained their size for the parameters used in this simulation. Those tests that were sensitive to location and scale shift alternatives were more powerful than the t-test and rank-sum test when there were small differences in variability between the groups" @default.
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- W2021304891 date "1995-01-01" @default.
- W2021304891 modified "2023-09-23" @default.
- W2021304891 title "The effect of unequal variances on the power of several two–sample tests" @default.
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- W2021304891 doi "https://doi.org/10.1080/03610919508813279" @default.
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