Transcription of UNIT I: RANDOM VARIABLES PART- A -TWO MARKS 2. A ...
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UNIT I: RANDOM VARIABLES PART- A -TWO MARKS 2. A ...
UNIT I: RANDOM VARIABLES . PART- A -TWO MARKS . 1. Given the probability density function of a continuous RANDOM variable X as follows f(x) = 6x (1-x) 0<x<1 . Find cumulative density function. x x x CDF F(x) = f(x) dx = 6x (1-x) dx = 6(x /2 x /3) = 3x2 2 x3 ,0 < x < 1. 2 3. 0 0 0. 2. A continuous RANDOM variable X can assume any value between x = 2 and x = 5 has a density function given by f(x) = k(x + 1). Find P(X < 4). 5 5 5. 2. f(x) dx = 1 k(x + 1) dx = k( x /2 + x) k(27/2) = 1 k = 2/27. 2 2 2. 4 4 4 4. 2. P(X < 4) = f(x) dx = k(x + 1)dx = 2/27 (x+1) dx = 2/27 (x /2 + x ) = 16/27. 2 2 2 2. 3. If moment generating function M X (t) = 1/3 et + 4/15 e3t + 2/15 e4t + 4/15 e5t . Find the probability mass function of X. X 1 2 3 4 5. P(X = x) 1/3 0 4/15 2/15 4/15. 4. Suppose MX(t) = ( e t + ) 8 . Find the MGF of Y = 3X + 2. M Y (t) = e 2t M X (3t) = e 2t ( e 3t + ) 8.
random variable X, so it is called as Moment Generating function. 6. For a binomial distribution mean is 6 and standard deviation is ... 11.If X is the number of …
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