(1) The pmf of Geometric distribution with p = 1/3 is, (a) 3(1/3)*-1 (b) (1/3)32/3-1 (c) (2/3)(1/3)*-1 (d) (1/3) (2/3)*-1 (2) Let X-Negative Binomial (4,1/4), then the mean of X is, (a) 16 (b) 1 (c) 12 (d) 1/16 (3) Let X-Poisson().then (a) mean> variance (b) mean variance (c) mean < variance (d) mean = 2. variance

MATLAB: An Introduction with Applications
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(1) The pmf of Geometric distribution with p = 1/3 is,
(a) 3(1/3)*-1 (b) (1/3)32/1-1 (c) (2/3)(1/3)*-1 (d) (1/3)(2/3)*-1
(2) Let X-Negative Binomial (4,1/4), then the mean of X is,
(a) 16 (b) 1 (c) 12 (d) 1/16
(3) Let X-Poisson (0).then
(a) mean> variance (b) mean = variance (c) mean <variance (d) mean =
2. variance
Transcribed Image Text:(1) The pmf of Geometric distribution with p = 1/3 is, (a) 3(1/3)*-1 (b) (1/3)32/1-1 (c) (2/3)(1/3)*-1 (d) (1/3)(2/3)*-1 (2) Let X-Negative Binomial (4,1/4), then the mean of X is, (a) 16 (b) 1 (c) 12 (d) 1/16 (3) Let X-Poisson (0).then (a) mean> variance (b) mean = variance (c) mean <variance (d) mean = 2. variance
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