Read the introduction to probability and probability measures at StatLect.com
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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.
If a number has a probability of 1 it means it is certain to occur.
Increasing alpha from .01 to .05 will increase the probability of rejecting the null hypothesis when it is true.
From a probability perspective fair means equal probability.
Read the introduction to probability and probability measures at StatLect.com
It means multiply, Probaility of A and B means probability of A multiplied by probability of B.
If the type 1 error has a probability of 01 = 1, then you will always reject the null hypothesis (false positive) - even when the evidence is wholly consistent with the null hypothesis.
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.
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Dependent probability is the probability of an event which changes according to the outcome of some other event.
yes ==Ans:== Probability of ghost: .01% Probability of people who love ghost stories: 99.99%
It is the probability of an event calculated from repeated trials of an experiment.