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. 2018 Jul 24;13(7):e0200837. doi: 10.1371/journal.pone.0200837

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© 2018 Monnie McGee

This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Fig 2 — Power for both the TST and WMW when there are no ties, unequal sample sizes, and continuous distributions. Power is plotted on the vertical axis, and the sample size for the larger sample is plotted on the horizontal axis. The power for the TST is plotted with a solid line , and the power for the WMW is plotted with a dashed line . Each row corresponds to a different underlying population distribution: the Normal (top row), exponential (second row), Cauchy (third row) and Laplace (bottom row). Each column corresponds to a different percentage difference between the sample sizes. In the left most column, the larger sample size is 10% larger than the smaller sample size. In the middle column, the larger sample size is 25% larger than the smaller sample size. In the right column, the larger sample size is 50% larger than the smaller sample size. Each frame shows the empirical power under each combination of distribution and sample size difference.

Inline graphic — Power for both the TST and WMW when there are no ties, unequal sample sizes, and continuous distributions. Power is plotted on the vertical axis, and the sample size for the larger sample is plotted on the horizontal axis. The power for the TST is plotted with a solid line , and the power for the WMW is plotted with a dashed line . Each row corresponds to a different underlying population distribution: the Normal (top row), exponential (second row), Cauchy (third row) and Laplace (bottom row). Each column corresponds to a different percentage difference between the sample sizes. In the left most column, the larger sample size is 10% larger than the smaller sample size. In the middle column, the larger sample size is 25% larger than the smaller sample size. In the right column, the larger sample size is 50% larger than the smaller sample size. Each frame shows the empirical power under each combination of distribution and sample size difference.