The addition rule is concerned with determining the probability of A or B, while the multiplication rule is concerned with determining the probability A and B.
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When events are mutually exclusive and exhaustive then the sum of the individual probabilities of each event in the set must equal 1.00.
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When two events are dependent, then p(A and B) = p(A) + p(B).
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Two events are considered mutually exclusive if the probability of one event does not influence the probability of a second event.
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Events that occur only rarely have a probability equal to 0.00.
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An a posteriori approach to probability is never used because it is only an approximation of the true probability.
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Sampling without replacement is usually used in choosing subjects for an independent groups design experiment.
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To use a random number table properly one must begin on the top left hand column and read across.
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For a sample to be random, all the members must have an equal chance of being selected into the sample.
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In order to generalize to the population a sample must be randomly selected.
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