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Probability question

2024 · 31 Jan · Shift 1 · Q38
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  5. /2024 · 31 Jan · Shift 1 · Q38

Probability question

2024 · 31 Jan · Shift 1 · Q38

JEE MainMathematicsProbabilityMCQ+4 / −1
Three rotten apples are accidently mixed with fifteen good apples. Assuming the random variable xxx to be the number of rotten apples in a draw of two apples, the variance of xxx is
  1. A
    57153\frac{57}{153}15357​
  2. B
    40153\frac{40}{153}15340​
  3. C
    37153\frac{37}{153}15337​
  4. D
    47153\frac{47}{153}15347​
View written solutionFree

Correct answer: B

  1. Identify the distribution

We have:

  • Total apples =18= 18=18
  • Rotten apples =3= 3=3
  • Good apples =15= 15=15

Two apples are drawn without replacement.

Let XXX be the number of rotten apples in the draw of two apples.

So XXX can take values 0,1,20,1,20,1,2.

This is a hypergeometric distribution.


  1. Find the probabilities

Total number of ways to draw 222 apples from 181818:

(182)=153\binom{18}{2} = 153(218​)=153

(i) P(X=0)P(X=0)P(X=0)

Both apples are good:

P(X=0)=(152)(182)=105153P(X=0)=\frac{\binom{15}{2}}{\binom{18}{2}}=\frac{105}{153}P(X=0)=(218​)(215​)​=153105​

(ii) P(X=1)P(X=1)P(X=1)

One rotten and one good:

P(X=1)=(31)(151)(182)=45153P(X=1)=\frac{\binom{3}{1}\binom{15}{1}}{\binom{18}{2}}=\frac{45}{153}P(X=1)=(218​)(13​)(115​)​=15345​

(iii) P(X=2)P(X=2)P(X=2)

Both apples are rotten:

P(X=2)=(32)(182)=3153P(X=2)=\frac{\binom{3}{2}}{\binom{18}{2}}=\frac{3}{153}P(X=2)=(218​)(23​)​=1533​

Check:

105+45+3153=1\frac{105+45+3}{153}=1153105+45+3​=1
  1. Compute E(X)E(X)E(X)
E(X)=0⋅105153+1⋅45153+2⋅3153E(X)=0\cdot \frac{105}{153}+1\cdot \frac{45}{153}+2\cdot \frac{3}{153}E(X)=0⋅153105​+1⋅15345​+2⋅1533​ E(X)=45+6153=51153=13E(X)=\frac{45+6}{153}=\frac{51}{153}=\frac{1}{3}E(X)=15345+6​=15351​=31​
  1. Compute E(X2)E(X^2)E(X2)
E(X2)=02⋅105153+12⋅45153+22⋅3153E(X^2)=0^2\cdot \frac{105}{153}+1^2\cdot \frac{45}{153}+2^2\cdot \frac{3}{153}E(X2)=02⋅153105​+12⋅15345​+22⋅1533​ E(X2)=45+12153=57153=1951E(X^2)=\frac{45+12}{153}=\frac{57}{153}=\frac{19}{51}E(X2)=15345+12​=15357​=5119​
  1. Compute the variance
Var⁡(X)=E(X2)−[E(X)]2\operatorname{Var}(X)=E(X^2)-[E(X)]^2Var(X)=E(X2)−[E(X)]2 Var⁡(X)=57153−(13)2\operatorname{Var}(X)=\frac{57}{153}-\left(\frac{1}{3}\right)^2Var(X)=15357​−(31​)2

Since

57153=1951\frac{57}{153}=\frac{19}{51}15357​=5119​

we get

Var⁡(X)=1951−19\operatorname{Var}(X)=\frac{19}{51}-\frac{1}{9}Var(X)=5119​−91​

Taking LCM 153153153:

1951=57153,19=17153\frac{19}{51}=\frac{57}{153}, \qquad \frac{1}{9}=\frac{17}{153}5119​=15357​,91​=15317​

Thus,

Var⁡(X)=57−17153=40153\operatorname{Var}(X)=\frac{57-17}{153}=\frac{40}{153}Var(X)=15357−17​=15340​
  1. Match with options
Var⁡(X)=40153\boxed{\operatorname{Var}(X)=\frac{40}{153}}Var(X)=15340​​

So the correct option is:

B. 40153\frac{40}{153}15340​


  1. Compare with stored correct answer

Stored correct answer: B

Our derived answer: B

They match.

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