It’s not just p=0.048 vs. p=0.052

Re:It’s not just p=0.048 vs. p=0.052 by mruts on Wednesday September 11, 2019 @08:31AM (#20939322)

I don’t think you understand what a p-value is. The p-value is a percentage output of testing whether a given normal distribution actually has a non-zero mean. It is phrased in terms of the null hypothesis. So a P < 0.05 means that there is less than a 5% chance that the null hypothesis is true. Conversely, this means that there is a 95% chance that what you’re testing is true.

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Re:It’s not just p=0.048 vs. p=0.052 by firebacon on Wednesday September 11, 2019 @08:44AM (#20939439)

> So a P < 0.05 means that there is less than a 5% chance that the null hypothesis is true. Conversely, this means that there is a 95% chance that what you’re testing is true.

See https://en.wikipedia.org/wiki/P-value#Basic%20concepts

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Re:It’s not just p=0.048 vs. p=0.052 by sweeneyrod on Wednesday September 11, 2019 @09:05AM (#20939656)

You don't understand what a p-value is.

> a P < 0.05 means that there is less than a 5% chance that the null hypothesis is true.

In other words, P(H0 | X) where H0 is the null hypothesis being true and X is the data observed. But that is not what a p-value is, they actually represent P(X | H0).

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Re:It’s not just p=0.048 vs. p=0.052 by lonelappde on Wednesday September 11, 2019 @09:01AM (#20939602)

mruts' (and most people who studied a little statistics) misunderstanding of the basic definition is exactly what author and others have been campaigning against for years.

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