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Mutually exclusive and exhaustive events

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Multiple Choice section

(Please fill in choices and HAND IN THIS PORTION)

1 Let be mutually exclusive and exhaustive events. Then for any other event B, P(B) = is well known as

A. De Morgan's laws of probability
B. The multiplication rule
C. Bayer's theorem

D. The law of total probability

2. Which of the following statements are not correct?

A. The name "probability mass function" is suggested by a model in physics for a system of "point masses."
B. In general, the probability mass function of any Bernoulli random variable can be expressed in the form
C. The cumulative distribution function (cdf) of a discrete random variable X with probability mass function p(x) is defined for every number x by
D. In general, the cumulative distribution function (cdf) of a discrete random variable X is derived from the probability mass function (pmf) of X, and that the pmf can be obtained from the cdf whenever the latter function is available.

Reference no: EM13926292

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