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The probability distribution of a random...

The probability distribution of a random variable is given below:
`{:(X=x,0,1,2,3,4,5,6,7),(P(X=x),0,k,2k,2k,3k,k^(2),2k^(2),7k^(2)+k):}`
Then `P(0 lt X lt 5)=`

A

`(1)/(10)`

B

`(3)/(10)`

C

`(8)/(10)`

D

`(7)/(10)`

Text Solution

AI Generated Solution

The correct Answer is:
To solve the problem, we need to find the probability \( P(0 < X < 5) \) given the probability distribution of the random variable \( X \). ### Step 1: Write down the probability distribution The probability distribution is given as: - \( P(X=0) = 0 \) - \( P(X=1) = k \) - \( P(X=2) = 2k \) - \( P(X=3) = 2k \) - \( P(X=4) = 3k \) - \( P(X=5) = k^2 \) - \( P(X=6) = 2k^2 \) - \( P(X=7) = 7k^2 + k \) ### Step 2: Set up the equation for total probability Since the sum of all probabilities must equal 1, we can write: \[ 0 + k + 2k + 2k + 3k + k^2 + 2k^2 + (7k^2 + k) = 1 \] This simplifies to: \[ (0 + k + 2k + 2k + 3k + k + 2k^2 + 7k^2) = 1 \] Combining like terms: \[ 9k + 10k^2 = 1 \] ### Step 3: Rearrange the equation Rearranging gives us: \[ 10k^2 + 9k - 1 = 0 \] ### Step 4: Solve the quadratic equation We can use the quadratic formula \( k = \frac{-b \pm \sqrt{b^2 - 4ac}}{2a} \) where \( a = 10, b = 9, c = -1 \): \[ k = \frac{-9 \pm \sqrt{9^2 - 4 \cdot 10 \cdot (-1)}}{2 \cdot 10} \] Calculating the discriminant: \[ 9^2 + 40 = 81 + 40 = 121 \] So, \[ k = \frac{-9 \pm 11}{20} \] Calculating the two possible values: 1. \( k = \frac{2}{20} = \frac{1}{10} \) 2. \( k = \frac{-20}{20} = -1 \) (not valid since probability cannot be negative) Thus, we have: \[ k = \frac{1}{10} \] ### Step 5: Calculate \( P(0 < X < 5) \) Now, we need to calculate \( P(0 < X < 5) \), which is: \[ P(X=1) + P(X=2) + P(X=3) + P(X=4) \] Substituting the values: \[ P(X=1) = k = \frac{1}{10} \] \[ P(X=2) = 2k = \frac{2}{10} \] \[ P(X=3) = 2k = \frac{2}{10} \] \[ P(X=4) = 3k = \frac{3}{10} \] Adding these probabilities: \[ P(0 < X < 5) = \frac{1}{10} + \frac{2}{10} + \frac{2}{10} + \frac{3}{10} = \frac{8}{10} = \frac{4}{5} \] ### Final Answer Thus, the probability \( P(0 < X < 5) = \frac{4}{5} \). ---
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