2. The following Table presents the joint probability distribution for two random variables X and Y. Using this information answer the questions below. X=1 X=2 Y=1 1c 3c iii. Find P(1.5 < X < 2). iv. Find P(1.5 ≤ x ≤ 2). Y=2 4c 20 That is, P(X= 1, Y = 1) = p(1, 1) = 1c and so forth. (a) Find the value of constant, c. (b) [Marginal distributions] i. Determine the probability mass functions (pmf) of X, px(x). ii. Find the cumulative distribution of X.
2. The following Table presents the joint probability distribution for two random variables X and Y. Using this information answer the questions below. X=1 X=2 Y=1 1c 3c iii. Find P(1.5 < X < 2). iv. Find P(1.5 ≤ x ≤ 2). Y=2 4c 20 That is, P(X= 1, Y = 1) = p(1, 1) = 1c and so forth. (a) Find the value of constant, c. (b) [Marginal distributions] i. Determine the probability mass functions (pmf) of X, px(x). ii. Find the cumulative distribution of X.
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.CR: Chapter 13 Review
Problem 31CR
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