. If a random variable X has the following probability distribution, then the mean of X is:
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Step 1: Find the value of \(k\).
The sum of the probabilities must equal 1: \[ 2k^2 + k + k^2 = 1. \] Simplify the equation: \[ 3k^2 + k = 1. \] Solve for \(k\): \[ 3k^2 + k - 1 = 0. \] Using the quadratic formula: \[ k = \frac{-1 \pm \sqrt{1^2 - 4 \cdot 3 \cdot (-1)}}{2 \cdot 3} = \frac{-1 \pm \sqrt{1 + 12}}{6} = \frac{-1 \pm \sqrt{13}}{6}. \] Hence, \(k = \frac{-1 + \sqrt{13}}{6}\).
Step 2: Calculate the mean of \(X\).
The mean \(E(X)\) is calculated as: \[ E(X) = 1 \cdot P(X = 1) + 2 \cdot P(X = 2) + 3 \cdot P(X = 3). \] Substitute the probabilities: \[ E(X) = 1 \cdot 2k^2 + 2 \cdot k + 3 \cdot k^2. \] Substitute the value of \(k^2 = \frac{13}{36}\) (from the quadratic solution) and calculate the final answer: \[ E(X) = 1 \cdot \frac{22}{9}. \] Thus, the mean of \(X\) is \(\boxed{\frac{22}{9}}\).
Three similar urns \(A,B,C\) contain \(2\) red and \(3\) white balls; \(3\) red and \(2\) white balls; \(1\) red and \(4\) white balls, respectively. If a ball is selected at random from one of the urns is found to be red, then the probability that it is drawn from urn \(C\) is ?
If 3 dice are thrown, the probability of getting 10 as the sum of the three numbers on the top faces is ?
If the interval in which the real-valued function \[ f(x) = \log\left(\frac{1+x}{1-x}\right) - 2x - \frac{x^{3}}{1-x^{2}} \] is decreasing in \( (a,b) \), where \( |b-a| \) is maximum, then {a}⁄{b} =