2 ms·
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.
by mruts 7y ago
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.
- firebacon 7y ago> 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 https://en.wikipedia.org/wiki/P-value#Basic%20concepts
- lonelappde 7y agomruts' (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.
- sweeneyrod 7y agoYou 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).