No. p-values are probabilities but they are not the only ones.
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A Bernoulli distribution is a discrete probability distribution which takes value 1 with success probability p and value 0 with failure probability q = 1 - p.
It is the probability of the observed value.
If a p-value is negative then there is something very seriously wrong - either with the probability model or your calculations.If a p-value is negative then there is something very seriously wrong - either with the probability model or your calculations.If a p-value is negative then there is something very seriously wrong - either with the probability model or your calculations.If a p-value is negative then there is something very seriously wrong - either with the probability model or your calculations.
The first step in calculating a p-value is to make a hypothesis of the statistical model for your study. You then assume that the hypothesis is true and calculate the probability of observing an outcome at least as extreme as the one that you did observe. This probability is the p-value.
If X takes the value 1 with probability p and 0 with probability (1-p), and there are n independent trials then E(X) = np