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If the probability of a random variable ...

If the probability of a random variable X is a given below :
`{:(X=x:,-2,-1,0,1,2,3),(P(X=x):,(1)/(10),k,(1)/(5),2k,(3)/(10),k):}`
Then the value of k, is :

A

`(1)/(10)`

B

`(2)/(10)`

C

`(3)/(10)`

D

`(7)/(10)`

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The correct Answer is:
To find the value of \( k \) in the given probability distribution, we need to ensure that the sum of all probabilities equals 1. Let's break down the solution step by step. ### Step 1: Write down the probabilities The given probabilities for the random variable \( X \) are: - \( P(X = -2) = \frac{1}{10} \) - \( P(X = -1) = k \) - \( P(X = 0) = \frac{1}{5} \) - \( P(X = 1) = 2k \) - \( P(X = 2) = \frac{3}{10} \) - \( P(X = 3) = k \) ### Step 2: Set up the equation According to the property of probability distributions, the sum of all probabilities must equal 1: \[ P(X = -2) + P(X = -1) + P(X = 0) + P(X = 1) + P(X = 2) + P(X = 3) = 1 \] Substituting the values, we get: \[ \frac{1}{10} + k + \frac{1}{5} + 2k + \frac{3}{10} + k = 1 \] ### Step 3: Simplify the equation First, convert \( \frac{1}{5} \) to a fraction with a denominator of 10: \[ \frac{1}{5} = \frac{2}{10} \] Now substitute this back into the equation: \[ \frac{1}{10} + k + \frac{2}{10} + 2k + \frac{3}{10} + k = 1 \] Combine like terms: \[ \frac{1 + 2 + 3}{10} + (k + 2k + k) = 1 \] This simplifies to: \[ \frac{6}{10} + 4k = 1 \] ### Step 4: Solve for \( k \) Now, isolate \( k \): \[ 4k = 1 - \frac{6}{10} \] Convert 1 to a fraction with a denominator of 10: \[ 1 = \frac{10}{10} \] Thus, \[ 4k = \frac{10}{10} - \frac{6}{10} = \frac{4}{10} \] Now, divide both sides by 4: \[ k = \frac{4}{10} \div 4 = \frac{4}{40} = \frac{1}{10} \] ### Conclusion The value of \( k \) is \( \frac{1}{10} \). ---

To find the value of \( k \) in the given probability distribution, we need to ensure that the sum of all probabilities equals 1. Let's break down the solution step by step. ### Step 1: Write down the probabilities The given probabilities for the random variable \( X \) are: - \( P(X = -2) = \frac{1}{10} \) - \( P(X = -1) = k \) - \( P(X = 0) = \frac{1}{5} \) - \( P(X = 1) = 2k \) ...
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OBJECTIVE RD SHARMA ENGLISH-DISCRETE PROBABILITY DISTRIBUTIONS-Exercise
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