Step 1: Understanding the Concept:
This is a normal distribution problem.
We need to find \(P(X > 1400)\).
Step 2: Key Formula or Approach:
Convert to standard normal: \(Z = \frac{X - \mu}{\sigma}\).
Step 3: Detailed Explanation:
Given \(\mu = 1200\), \(\sigma = 200\).
For \(X = 1400\):
\[
Z = \frac{1400 - 1200}{200} = \frac{200}{200} = 1.
\]
We need \(P(X > 1400) = P(Z > 1)\).
From standard normal table, \(P(Z < 1) = 0.8413\).
Thus, \(P(Z > 1) = 1 - 0.8413 = 0.1587 \approx 0.16\).
So the probability is approximately 0.16, which is option (A).
The empirical rule says 68% within 1 standard deviation, so 32% outside, and 16% above 1 standard deviation.