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en:suppl_vars

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en:suppl_vars [2019/03/16 06:14] David Zelený [Supplementary variables (unconstrained ordination)] |
en:suppl_vars [2019/03/16 06:20] David Zelený [Multiple testing issue and available corrections] |
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==== Multiple testing issue and available corrections ==== | ==== Multiple testing issue and available corrections ==== | ||

- | The more tests of significance we are doing, the higher is the chance to observe the significant result, even if the null hypothesis is true (no relationship). This rule is called //multiple testing issue// and can be illustrated in a simple example. I generated two random variables with normal distribution, | + | The more tests of significance we are doing, the higher is the chance to observe the significant result, even if the null hypothesis is true (no relationship). This rule is called //multiple testing issue// and can be illustrated in a simple example. I generated two random variables with normal distribution,. Or, put in another way, the probability that at least one of the tests will be significant at P < alpha can be calculated 1 - (1 - m)<. |

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en/suppl_vars.txt · Last modified: 2020/04/09 08:42 by David Zelený