Joint probability Binomial Distribution Mutually Exclusive Expected value Indepe
ID: 3217993 • Letter: J
Question
Joint probability Binomial Distribution Mutually Exclusive Expected value Independent Likelihood Complement (A") Conditional Probability n General Law of Addition. A. Probability is the measure of the relative _____ than an event will occur. B. The _____ for probabilities says P(A or B) = P(A) - P(B) - P(A and B). C. Event A and B are _____ if P(A and B) = 0. D. Two events A and B are _____ only if P(A | B) is the sum as P(A). E. If events A and B are mutually exclusive, the _____ will always sum to one. F. The probability of A and its ______ will always sum to one. G. The _____ is a discrete distribution showing the number of successes obtained in a sample of n observations. H. The _____ of a random variable is its mean. I. The probability of event A occurring given that event B has occurred is art example what? J. The symbol for the size of a sample, or the number of observations in a sample.Explanation / Answer
A: likelihood
B: General law of addition
C: Mutually exclusive
D:Independent
E: joint probability
F: Complement
G: Binomial distribution
H: Expected value
I: Conditional probability
J: n
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