2) A probabillty density function (pdf) of a random variable X is a rule that: a
ID: 3059237 • Letter: 2
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2) A probabillty density function (pdf) of a random variable X is a rule that: a) a value called standard deviation b) variability of the random variable X c) assigns probability values to each value of X d) none of the previous 3) A cumulative distribution function (cdf) of a random variable X is a rule that a) give you directly the expected value of X b) can be determined by accumulating the probabilities described by the corresponding pdf c) none of the previous 4) If F(t) is the cumulative distribution function of a random variable X then: a) P (a X b) = F(b)-F (a) + P (X = a) c) P(a X b) = F(b)-F(a) + p(X = b) d) none of the previousExplanation / Answer
2) A probabillty density function (pdf) of a random variable X is a rule that: a) a value called standard deviation b) variability of the random variable X c) assigns probability values to each value of X d) none of the previous 3) A cumulative distribution function (cdf) of a random variable X is a rule that a) give you directly the expected value of X b) can be determined by accumulating the probabilities described by the corresponding pdf c) none of the previous 4) If F(t) is the cumulative distribution function of a random variable X then: a) P (a X b) = F(b)-F (a) + P (X = a) c) P(a X b) = F(b)-F(a) + p(X = b) d) none of the previous
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