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Q: What does it mean for probability to be exhaustive?

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No, it is not. Furthermore, with ordinary phones, it is not even possible.

A sets events is said to be exhaustive if the performance of the experiment always results in the accurance of atleast one of them.

Read the introduction to probability and probability measures at StatLect.com

From a probability perspective fair means equal probability.

It means multiply, Probaility of A and B means probability of A multiplied by probability of B.

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The mean of a binomial probability distribution can be determined by multiplying the sample size times the probability of success.

The probability level for an outcome is the probability that the outcome was at least as extreme as the one that was observed.

The significance of the mean of a probability distribution is that it is the most probably thing to happen. The mean is the average of a set of values. If it is the average of a probability distribution, it is the most probable part.

Dependent probability is the probability of an event which changes according to the outcome of some other event.

It is the probability of an event calculated from repeated trials of an experiment.

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