Suppose that two random variables Y1 and Y2 are independent, that is, for all values of y, and y2, P((Yı = y1) N (Y2 = y2)) = P(Y1 = y1)P(Y2 = y2) that is, the events (Yı = y1) and (Y2 = y2) are independent. Suppose also that Y1 and Y2 have the same Geometric distribution, that is Y ~ Geometric(p) and Ý, ~ Geometric(p). Define a third random variable Y as the sum of Y1 and Y2, that is, Y = Y1 +Y2.
Suppose that two random variables Y1 and Y2 are independent, that is, for all values of y, and y2, P((Yı = y1) N (Y2 = y2)) = P(Y1 = y1)P(Y2 = y2) that is, the events (Yı = y1) and (Y2 = y2) are independent. Suppose also that Y1 and Y2 have the same Geometric distribution, that is Y ~ Geometric(p) and Ý, ~ Geometric(p). Define a third random variable Y as the sum of Y1 and Y2, that is, Y = Y1 +Y2.
Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter13: Probability And Calculus
Section13.2: Expected Value And Variance Of Continuous Random Variables
Problem 10E
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