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The probability distribution of a random variable X is

X01234
P(X)0.2kk2kk

Match List-I with List-II

List-IList-II
(A) value of k(I) 1625\frac{16}{25}
(B) P(x≥2)P(x \geq 2)(II) 925\frac{9}{25}
(C) P(x=3)P(x = 3)(III) 425\frac{4}{25}
(D) P(x<2)P(x < 2)(IV) 825\frac{8}{25}

Choose the correct answer from the options given below:

Solution

✅ Correct Option: 4

The probability distribution table has unknown values represented by kk. The sum of all probabilities must equal 1.

P(X=0)+P(X=1)+P(X=2)+P(X=3)+P(X=4)=1P(X=0) + P(X=1) + P(X=2) + P(X=3) + P(X=4) = 1

0.2+k+k+2k+k=10.2 + k + k + 2k + k = 1

0.2+5k=10.2 + 5k = 1

5k=0.85k = 0.8

k=0.16k = 0.16

k=425k = \dfrac{4}{25}

Therefore, (A) value of k=425k = \dfrac{4}{25} = (III)


For P(x≥2)P(x \geq 2), include X=2,3,X = 2, 3, and 44:

P(x≥2)=P(X=2)+P(X=3)+P(X=4)P(x \geq 2) = P(X=2) + P(X=3) + P(X=4)

P(x≥2)=k+2k+kP(x \geq 2) = k + 2k + k

P(x≥2)=4kP(x \geq 2) = 4k

P(x≥2)=4×425P(x \geq 2) = 4 \times \dfrac{4}{25}

P(x≥2)=1625P(x \geq 2) = \dfrac{16}{25}

Therefore, (B) P(x≥2)=1625P(x \geq 2) = \dfrac{16}{25} = (I)


From the table, P(X=3)=2kP(X=3) = 2k:

P(x=3)=2kP(x = 3) = 2k

P(x=3)=2×425P(x = 3) = 2 \times \dfrac{4}{25}

P(x=3)=825P(x = 3) = \dfrac{8}{25}

Therefore, (C) P(x=3)=825P(x = 3) = \dfrac{8}{25} = (IV)


For P(x<2)P(x < 2), include X=0X = 0 and X=1X = 1:

P(x<2)=P(X=0)+P(X=1)P(x < 2) = P(X=0) + P(X=1)

P(x<2)=0.2+kP(x < 2) = 0.2 + k

P(x<2)=525+425P(x < 2) = \dfrac{5}{25} + \dfrac{4}{25}

P(x<2)=925P(x < 2) = \dfrac{9}{25}

Therefore, (D) P(x<2)=925P(x < 2) = \dfrac{9}{25} = (II)


Final matching:

(A) value of kk → (III) 425\dfrac{4}{25}

(B) P(x≥2)P(x \geq 2) → (I) 1625\dfrac{16}{25}

(C) P(x=3)P(x = 3) → (IV) 825\dfrac{8}{25}

(D) P(x<2)P(x < 2) → (II) 925\dfrac{9}{25}

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