The probability distribution of a random variable \( X \) is given as follows. Then, \( P(X = 50) - \frac{P(X \leq 30)}{P(X \geq 20)} \) = 
We are given the probability distribution for a random variable \( X \) with values at \( X = 10, 20, 30, 40, 50 \) and corresponding probabilities.
The total sum of probabilities must be 1, so we start by solving for \( k \) using the equation: \[ k + 2k + 3k + 4k + 5k = 1 ⇒ 15k = 1 ⇒ k = \frac{1}{15}. \] Thus, the individual probabilities are: \[ P(X = 10) = \frac{1}{15}, P(X = 20) = \frac{2}{15}, P(X = 30) = \frac{3}{15}, P(X = 40) = \frac{4}{15}, P(X = 50) = \frac{5}{15}. \] Now, to find \( P(X = 50) - \frac{P(X \leq 30)}{P(X \geq 20)} \), we first calculate the cumulative probabilities: \[ P(X \leq 30) = P(X = 10) + P(X = 20) + P(X = 30) = \frac{1}{15} + \frac{2}{15} + \frac{3}{15} = \frac{6}{15} = \frac{2}{5}, \] \[ P(X \geq 20) = P(X = 20) + P(X = 30) + P(X = 40) + P(X = 50) = \frac{2}{15} + \frac{3}{15} + \frac{4}{15} + \frac{5}{15} = \frac{14}{15}. \] Substitute these values into the expression: \[ P(X = 50) - \frac{P(X \leq 30)}{P(X \geq 20)} = \frac{5}{15} - \frac{\frac{2}{5}}{\frac{14}{15}} = \frac{5}{15} - \frac{2}{5} \times \frac{15}{14} = \frac{5}{15} - \frac{6}{14} = \frac{1}{12}. \]
A quadratic polynomial \( (x - \alpha)(x - \beta) \) over complex numbers is said to be square invariant if \[ (x - \alpha)(x - \beta) = (x - \alpha^2)(x - \beta^2). \] Suppose from the set of all square invariant quadratic polynomials we choose one at random. The probability that the roots of the chosen polynomial are equal is ___________. (rounded off to one decimal place)
If A and B are two events such that \( P(A \cap B) = 0.1 \), and \( P(A|B) \) and \( P(B|A) \) are the roots of the equation \( 12x^2 - 7x + 1 = 0 \), then the value of \(\frac{P(A \cup B)}{P(A \cap B)}\)
Digital signatures provide ________.