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Questions › JNU › JNU SIS 2019 › Q28
0 marksStatistics › Random variables and standard distributions › Random variables, PMFs, PDFs and CDFsModerateabout 2 min

JNU SIS 2019 Question 28: Random variables and standard distributions

Let X be a continuous random variable with pdf f(x)={kx;0≤x≤50;Otherwisef(x) = \begin{cases} kx; & 0 \leq x \leq 5 \\ 0; & Otherwise \end{cases}f(x)={kx;0;​0≤x≤5Otherwise​ Then the probability P(1≤ X ≤3) is

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Let X be a continuous random variable with pdf f(x) = { kx; 0 ≤ x ≤ 5; 0; Otherwise } Then the probability P(1≤ X ≤3) is (A) 1/25 (B) 9/25 (C) 1/9 (D) 8/25

Also written as: Let X be a continuous random variable with pdf f(x) = { kx; 0 <= x <= 5; 0; Otherwise } Then the probability P(1≤ X ≤3) is

Random variables and standard distributions has come up 173 times in 7 exams since 2005.

What this question tests

This question is on Random variables, PMFs, PDFs and CDFs, part of Random variables and standard distributions in Statistics.

Describing a random variable by its mass, density or distribution function.

TestStop has 33 past-paper questions on this subtopic.

Practise Random variables and standard distributionsMore on Random variables, PMFs, PDFs and CDFs

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Question from the JNU SIS 2019 paper. Solutions are TestStop's own. Not affiliated with or endorsed by any examination authority.