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Probability question

2025 · 28 Jan · Shift 1 · Q36
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  5. /2025 · 28 Jan · Shift 1 · Q36

Probability question

2025 · 28 Jan · Shift 1 · Q36

JEE MainMathematicsProbabilityMCQ+4 / −1
Three defective oranges are accidently mixed with seven good ones and on looking at them, it is not possible to differentiate between them. Two oranges are drawn at random from the lot. If xxx denote the number of defective oranges, then the variance of xxx is
  1. A
    26/7526 / 7526/75
  2. B
    14/2514/2514/25
  3. C
    18/2518 / 2518/25
  4. D
    28/7528 / 7528/75
View written solutionFree

Correct answer: D

  1. Define the random variable

Let XXX be the number of defective oranges when 222 oranges are drawn from the 101010 oranges.

There are:

  • 333 defective oranges
  • 777 good oranges
  • total 101010 oranges

Since two oranges are drawn without replacement, XXX can take values: X=0,1,2X=0,1,2X=0,1,2

This is a hypergeometric distribution.


  1. Find the probability distribution of XXX

Total number of ways to draw 222 oranges from 101010: (102)=45\binom{10}{2}=45(210​)=45

Case 1: X=0X=0X=0

Both drawn are good: P(X=0)=(72)(102)=2145=715P(X=0)=\frac{\binom{7}{2}}{\binom{10}{2}}=\frac{21}{45}=\frac{7}{15}P(X=0)=(210​)(27​)​=4521​=157​

Case 2: X=1X=1X=1

One defective and one good: P(X=1)=(31)(71)(102)=2145=715P(X=1)=\frac{\binom{3}{1}\binom{7}{1}}{\binom{10}{2}}=\frac{21}{45}=\frac{7}{15}P(X=1)=(210​)(13​)(17​)​=4521​=157​

Case 3: X=2X=2X=2

Both drawn are defective: P(X=2)=(32)(102)=345=115P(X=2)=\frac{\binom{3}{2}}{\binom{10}{2}}=\frac{3}{45}=\frac{1}{15}P(X=2)=(210​)(23​)​=453​=151​

Check: 715+715+115=1\frac{7}{15}+\frac{7}{15}+\frac{1}{15}=1157​+157​+151​=1


  1. Compute the mean E(X)E(X)E(X)

E(X)=∑xP(X=x)E(X)=\sum xP(X=x)E(X)=∑xP(X=x)

E(X)=0⋅715+1⋅715+2⋅115E(X)=0\cdot \frac{7}{15}+1\cdot \frac{7}{15}+2\cdot \frac{1}{15}E(X)=0⋅157​+1⋅157​+2⋅151​

E(X)=715+215=915=35E(X)=\frac{7}{15}+\frac{2}{15}=\frac{9}{15}=\frac{3}{5}E(X)=157​+152​=159​=53​


  1. Compute E(X2)E(X^2)E(X2)

E(X2)=∑x2P(X=x)E(X^2)=\sum x^2P(X=x)E(X2)=∑x2P(X=x)

E(X2)=02⋅715+12⋅715+22⋅115E(X^2)=0^2\cdot \frac{7}{15}+1^2\cdot \frac{7}{15}+2^2\cdot \frac{1}{15}E(X2)=02⋅157​+12⋅157​+22⋅151​

E(X2)=715+415=1115E(X^2)=\frac{7}{15}+\frac{4}{15}=\frac{11}{15}E(X2)=157​+154​=1511​


  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)=1115−(35)2\operatorname{Var}(X)=\frac{11}{15}-\left(\frac{3}{5}\right)^2Var(X)=1511​−(53​)2

Var⁡(X)=1115−925\operatorname{Var}(X)=\frac{11}{15}-\frac{9}{25}Var(X)=1511​−259​

Taking LCM 757575: 1115=5575,925=2775\frac{11}{15}=\frac{55}{75},\qquad \frac{9}{25}=\frac{27}{75}1511​=7555​,259​=7527​

So, Var⁡(X)=5575−2775=2875\operatorname{Var}(X)=\frac{55}{75}-\frac{27}{75}=\frac{28}{75}Var(X)=7555​−7527​=7528​


  1. Match with the options

Var⁡(X)=2875\boxed{\operatorname{Var}(X)=\frac{28}{75}}Var(X)=7528​​

Hence the correct option is:

D: 2875\dfrac{28}{75}7528​

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