Step 1: Identify distribution. - For \(X_1\): exponential distribution with parameter \(\lambda = 1\). - For \(X_2\): exponential distribution with parameter \(\lambda = 2\).
Step 2: Probability of \(X_1 > 1\). For exponential distribution: \[ P(X > a) = e^{-\lambda a} \] So, \[ P(X_1 > 1) = e^{-1 \cdot 1} = e^{-1} = 0.3679 \]
Step 3: Probability of \(X_2 > 1\). \[ P(X_2 > 1) = e^{-2 \cdot 1} = e^{-2} = 0.1353 \]
Step 4: Total probability (law of total probability). \[ P(\text{storm} > 1) = 0.7 \cdot P(X_1 > 1) + 0.3 \cdot P(X_2 > 1) \] \[ = 0.7 \times 0.3679 + 0.3 \times 0.1353 \] \[ = 0.2575 + 0.0406 = 0.2981 \] Rounded to 2 decimal places: \[ \boxed{0.30} \]
Ravi had _________ younger brother who taught at _________ university. He was widely regarded as _________ honorable man.
Select the option with the correct sequence of articles to fill in the blanks.