Question Details

If the random variable X has the following distribution:


Options

A

(A)- (I), (B)- (II), (C)- (III), (D)- (IV)

B

(A)- (IV), (B)- (III), (C)- (II), (D)- (I)

C

(A)- (I), (B)- (II), (C)- (IV), (D)- (III)

D

(A)- (III), (B)- (IV), (C)- (I), (D)- (II)

Show Answer

Correct Answer :

Option B

(A)- (IV), (B)- (III), (C)- (II), (D)- (I)

Solution :

The correct option is (A)- (IV), (B)- (III), (C)- (II), (D)- (I).

Step-by-step Explanation:

From the probability distribution table shown in the image, we have the random variable X and its corresponding probability P(X) as follows:
• For X=0, P(X=0)=k
• For X=1, P(X=1)=2k
• For X=2, P(X=2)=3k
• For any other value, P(X)=0

Step 1: Find the value of k
Since the sum of all probabilities in a probability distribution must equal 1, we can write:
P ( X ) = 1
P ( X = 0 ) + P ( X = 1 ) + P ( X = 2 ) = 1
Substituting the given probability values:
k + 2 k + 3 k = 1
6 k = 1
k = 1 6
Therefore, (A) matches with (IV).

Step 2: Calculate P(X<2)
The probability that X is less than 2 is given by:
P ( X < 2 ) = P ( X = 0 ) + P ( X = 1 )
P ( X < 2 ) = k + 2 k = 3 k
Substituting k=16:
P ( X < 2 ) = 3 ( 1 6 ) = 1 2
Therefore, (B) matches with (III).

Step 3: Calculate the Expectation E(X)
The expectation of the random variable X is calculated as:
E ( X ) = x i P ( x i )
E ( X ) = 0 · P ( X = 0 ) + 1 · P ( X = 1 ) + 2 · P ( X = 2 )
E ( X ) = 0 ( k ) + 1 ( 2 k ) + 2 ( 3 k )
E ( X ) = 2 k + 6 k = 8 k
Substituting k=16:
E ( X ) = 8 ( 1 6 ) = 8 6 = 4 3
Therefore, (C) matches with (II).

Step 4: Calculate P(1X2)
The probability that X lies between 1 and 2 inclusive is:
P ( 1 X 2 ) = P ( X = 1 ) + P ( X = 2 )
P ( 1 X 2 ) = 2 k + 3 k = 5 k
Substituting k=16:
P ( 1 X 2 ) = 5 ( 1 6 ) = 5 6
Therefore, (D) matches with (I).

Conclusion:
Comparing the calculated values with List-II, we have:
• (A) matches (IV)
• (B) matches (III)
• (C) matches (II)
• (D) matches (I)

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