Discrete and Continuous Random Variables
Curriculum and historical examination lineage for Discrete and Continuous Random Variables under Unit 1 (Probability and Random Variables) of Probability and Statistics (21MAB202T) at SRMIST.
Historical appearance distribution across SRMIST Formative Tests (CT1, CT2) and University End Semester examinations.
Factual marks weightage of questions asked on this topic in historical examinations.
Question templates that recur across multiple examination cycles with similar conceptual stems.
“If X is an random variable and V(X)=2 then calculate V(2X+3) is (A) 2 (B) 6 (C) 8 (D) 3”
“A random variable X has the following probability function x: 0 1 2 3 4 P(x): k 2k 5k 7k 9k (A)...”
“If the mean of the random variable X is 5, then E(2X+7) = (A) 5 (B) 10 (C) 12 (D) 17”
“The contents of Urns I, II and III are as follows: 1 white, 2 red and 3 black balls 2 white, 3 red...”
“The density function of a random variable 'X' is given by f(x) = kx(2-x); 0 \le x \le 2 Find k,...”
Representative historical questions extracted directly from SRMIST examination papers.
If X is an random variable and V(X)=2 then calculate V(2X+3) is (A) 2 (B) 6 (C) 8 (D) 3
A random variable X has the following probability function x: 0 1 2 3 4 P(x): k 2k 5k 7k 9k (A) 2/24 (B) 21/24 (C) 7/12 (D) 1/24
If the mean of the random variable X is 5, then E(2X+7) = (A) 5 (B) 10 (C) 12 (D) 17
The contents of Urns I, II and III are as follows: 1 white, 2 red and 3 black balls 2 white, 3 red and 1 black balls 3 white, 1 red and 2 black balls One Urn is chosen of random...
The density function of a random variable 'X' is given by f(x) = kx(2-x); 0 \le x \le 2 Find k, mean and variance.
Examinations where questions for Discrete and Continuous Random Variables have appeared.
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