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The random variable 'X' has a probabilit...

The random variable 'X' has a probability distribution P (X) of the following form, where k is some number :
`P(X)={{:(k",","if",X=0),(2k",","if",X=1),(3k",","if",X=2),(0",","if","otherwise"):}`
(a) Determine the value of k.
(b) Find `P(X lt 2),P(X le2),P(X ge2)`

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To solve the given problem, we need to determine the value of \( k \) in the probability distribution and then calculate the required probabilities. Let's break it down step by step. ### Step 1: Determine the value of \( k \) The probability distribution \( P(X) \) is defined as follows: - \( P(X = 0) = k \) - \( P(X = 1) = 2k \) - \( P(X = 2) = 3k \) - \( P(X \text{ otherwise}) = 0 \) Since the sum of all probabilities must equal 1, we can write the equation: \[ P(X = 0) + P(X = 1) + P(X = 2) = 1 \] Substituting the values we have: \[ k + 2k + 3k = 1 \] Combining like terms gives: \[ 6k = 1 \] Now, solving for \( k \): \[ k = \frac{1}{6} \] ### Step 2: Find the probabilities Now that we have \( k \), we can substitute it back into the probability distribution: - \( P(X = 0) = k = \frac{1}{6} \) - \( P(X = 1) = 2k = \frac{2}{6} = \frac{1}{3} \) - \( P(X = 2) = 3k = \frac{3}{6} = \frac{1}{2} \) ### Step 3: Calculate \( P(X < 2) \) To find \( P(X < 2) \), we need to consider the values of \( X \) that are less than 2, which are \( X = 0 \) and \( X = 1 \): \[ P(X < 2) = P(X = 0) + P(X = 1) = \frac{1}{6} + \frac{1}{3} \] To add these fractions, we need a common denominator. The least common multiple of 6 and 3 is 6: \[ P(X < 2) = \frac{1}{6} + \frac{2}{6} = \frac{3}{6} = \frac{1}{2} \] ### Step 4: Calculate \( P(X \leq 2) \) To find \( P(X \leq 2) \), we include \( X = 0, 1, \) and \( 2 \): \[ P(X \leq 2) = P(X = 0) + P(X = 1) + P(X = 2) = \frac{1}{6} + \frac{1}{3} + \frac{1}{2} \] Again, we need a common denominator, which is 6: \[ P(X \leq 2) = \frac{1}{6} + \frac{2}{6} + \frac{3}{6} = \frac{6}{6} = 1 \] ### Step 5: Calculate \( P(X \geq 2) \) To find \( P(X \geq 2) \), we consider \( X = 2 \) and values greater than 2 (which have a probability of 0): \[ P(X \geq 2) = P(X = 2) + P(X > 2) = P(X = 2) + 0 = \frac{1}{2} \] ### Summary of Results (a) The value of \( k \) is \( \frac{1}{6} \). (b) The probabilities are: - \( P(X < 2) = \frac{1}{2} \) - \( P(X \leq 2) = 1 \) - \( P(X \geq 2) = \frac{1}{2} \)
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