The probability density function of a random variable is given as where x = 0, 1, 2, . . . . then the expected value of is :
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The probability density function of a random variable is given as where x = 0, 1, 2, . . . . then the expected value of is :
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The probability density function of a random variable is given as f(x) = (λ^x e^(-λ))/x! where x = 0, 1, 2,.... then the expected value of x² is: (A) λ (B) λ² (C) λ(λ + 1) (D) 1 - λ²
Also written as: The probability density function of a random variable is given as f(x) = (lambda^x e^(-lambda))/x! where x = 0, 1, 2,.... then the expected value of x^2 is:
Random variables and standard distributions has come up 173 times in 7 exams since 2005.
This question is on The Poisson distribution, part of Random variables and standard distributions in Statistics.
Counts of rare events, where mean equals variance.
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Question from the JNU SIS 2020 paper. Solutions are TestStop's own. Not affiliated with or endorsed by any examination authority.