6. Suppose that a discrete random variable X takes all positive integer values {1, 2, 3, 4, …}, with cumulative distribution function (cdf) given by the formula Fx(k) = 1 - ; (a) What is the probability that 2 ≤ X ≤ 4? (b) What is the probability that X ≥ 3? (c) Find a formula for the probability mass function Px(k). 1 3k

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
Section13.3: Special Probability Density Functions
Problem 35E: Determine the cumulative distribution function for the uniform distribution.
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6. Suppose that a discrete random variable X takes all positive integer values (1, 2, 3, 4, ...},
with cumulative distribution function (cdf) given by the formula
Fx(k) = 1
1
3k
(a) What is the probability that 2 ≤ X ≤ 4?
(b) What is the probability that X ≥ 3?
(c) Find a formula for the probability mass function Px(k).
Transcribed Image Text:6. Suppose that a discrete random variable X takes all positive integer values (1, 2, 3, 4, ...}, with cumulative distribution function (cdf) given by the formula Fx(k) = 1 1 3k (a) What is the probability that 2 ≤ X ≤ 4? (b) What is the probability that X ≥ 3? (c) Find a formula for the probability mass function Px(k).
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