A random variable X can take on the values 0, 1, 2, or 3. The following probabilities are known: P(X = 1) = P(X = 2) = P

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answerhappygod
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A random variable X can take on the values 0, 1, 2, or 3. The following probabilities are known: P(X = 1) = P(X = 2) = P

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A Random Variable X Can Take On The Values 0 1 2 Or 3 The Following Probabilities Are Known P X 1 P X 2 P 1
A Random Variable X Can Take On The Values 0 1 2 Or 3 The Following Probabilities Are Known P X 1 P X 2 P 1 (20.92 KiB) Viewed 92 times
A Random Variable X Can Take On The Values 0 1 2 Or 3 The Following Probabilities Are Known P X 1 P X 2 P 2
A Random Variable X Can Take On The Values 0 1 2 Or 3 The Following Probabilities Are Known P X 1 P X 2 P 2 (15.84 KiB) Viewed 92 times
A Random Variable X Can Take On The Values 0 1 2 Or 3 The Following Probabilities Are Known P X 1 P X 2 P 3
A Random Variable X Can Take On The Values 0 1 2 Or 3 The Following Probabilities Are Known P X 1 P X 2 P 3 (37.53 KiB) Viewed 92 times
A random variable X can take on the values 0, 1, 2, or 3. The following probabilities are known: P(X = 1) = P(X = 2) = P(X = 3) = 0. 1. if X is a true PMF, then what is E (X]?

Arandom variable Y can take on the values 2, 4, 6, or 12. If P(Y = y) = 1. , then what is the variance of Y?

Two hundred time-piece enthusiasts were asked if they owned the following items: a sundial and an hourglass. The results are summarized in the table here. Sundial - Yes Sundial - No Hourglass - Yes 75 25 Hourglass - No 50 50 Based on these results, what is the probability that a time-piece enthusiast does NOT own a sundial given that they own an hourglass?
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