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10. Explain in words, and words only, the following properties of a cumulative density function (CDF) F(x). Explain the meani
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the f) Bow Now, for a particular value se, X either assumes values greater than or equal to &ror X assumes values strictly lHere X is a random variable a) CDF of x = F(x) = Priobability that x assumes values less than or equal to x b) Probabilityvalues in between and including Ha&to and g) Prob. that & takes values in between is equal to Fb) - F(Xa). - Feb k PCX EXER)

Here X is a random variable a) CDF of x = F(x) = Priobability that x assumes values less than or equal to 'x' b) Probability that x assumes values strictly Probability that x takes less than 'x' values less than or equal to x c) Probability that x takes values less than or equal to a lie. X can't take any value less than or equal to .o. d) Probability that x takes values less than or equal to to. always takes l.e. X values less than to requality is not possible ahore F(x) = P(X<x) e) if a value da is less than a I then Probability that x takes values less than or equal to all is greater than prob. that x takes values less than or equal to B Fina) holds] ola FM).

values in between and including Ha&to and g) Prob. that & takes values in between is equal to Fb) - F(Xa). - Feb k PCX EXER) Flora)

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