To determine the normal model for the data distribution, we first need to understand some key points from the information provided:
- The mean of the data is 50.5.
- The point corresponding to +1σ (one standard deviation above the mean) is 60.5.
To find the standard deviation (σ), we take the difference between the +1σ point and the mean:
\[ \sigma = 60.5 - 50.5 = 10 \]
Given that the mean is 50.5 and the standard deviation is 10, we can represent the normal distribution as \(N(\mu, \sigma)\) or \(N(50.5, 10)\).
Thus, the correct response for the normal model is:
(50.5, 10)