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Questions › GATE › GATE 2023 › Q62
2 marksStatistics › Random variables and standard distributions › Uniform distributionsModerateabout 2 min

GATE 2023 Question 62: Random variables and standard distributions

Let XXX be a random variable with the probability density function f(x)f(x)f(x) such that

f(x)={123if −3<x<30otherwisef(x) = \begin{cases} \dfrac{1}{2\sqrt3} & \text{if } -\sqrt3 < x < \sqrt3 \\ 0 & \text{otherwise} \end{cases}f(x)=⎩⎨⎧​23​1​0​if −3​<x<3​otherwise​

Then, the variance of XXX is ______ (in integer).

Answer and worked solution

Answer: 1

This density describes a Uniform distribution on the interval (−3,3)(-\sqrt3, \sqrt3)(−3​,3​): it's constant (123\frac{1}{2\sqrt3}23​1​) over the interval and zero elsewhere. Checking normalization: the interval width is 3−(−3)=23\sqrt3-(-\sqrt3)=2\sqrt33​−(−3​)=23​, and 123×23=1\frac{1}{2\sqrt3}\times 2\sqrt3=123​1​×23​=1, confirming it's a valid density.

For a Uniform(a,b)(a,b)(a,b) distribution, the variance formula is:

Var(X)=(b−a)212Var(X) = \frac{(b-a)^2}{12}Var(X)=12(b−a)2​

Here a=−3a=-\sqrt3a=−3​, b=3b=\sqrt3b=3​, so b−a=23b-a = 2\sqrt3b−a=23​, and (b−a)2=(23)2=4×3=12(b-a)^2 = (2\sqrt3)^2 = 4\times 3 = 12(b−a)2=(23​)2=4×3=12.

Var(X)=1212=1Var(X) = \frac{12}{12} = 1Var(X)=1212​=1

Therefore the variance of XXX is 1.

The trap: 3

Students sometimes recall the variance formula for a symmetric interval around zero, (−a,a)(-a,a)(−a,a), as a2/3a^2/3a2/3 rather than the general Uniform(a,b)(a,b)(a,b) formula (b−a)2/12(b-a)^2/12(b−a)2/12 — applying (3)2/3=1(\sqrt3)^2/3=1(3​)2/3=1 actually coincides here by a specific-case shortcut, but a student who instead misremembers the shortcut (e.g. using a2a^2a2 directly without dividing) could land on 3 instead of 1.

Plain-text version

Let X be a random variable with the probability density function f(x) such that f(x) = { 1/2√3 if -√3 < x < √3; 0 otherwise } Then, the variance of X is (in integer).

Also written as: Let X be a random variable with the probability density function f(x) such that f(x) = { 1/2sqrt(3) if -sqrt(3) < x < sqrt(3); 0 otherwise } Then, the variance of X is (in integer).

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

What this question tests

This question is on Uniform distributions, part of Random variables and standard distributions in Statistics.

Equally likely outcomes over a finite set or an interval.

TestStop has 14 past-paper questions on this subtopic.

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Question from the GATE 2023 paper. Solutions are TestStop's own. Not affiliated with or endorsed by any examination authority.