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Suppose that \( X \sim N(1, 5) \). This says that \( X \) is a normally distributed random variable with mean **1** and standard deviation **\(\sqrt{5}\)**.
(Note: The standard deviation is the square root of the variance, which is the second parameter in the notation \( N(\mu, \sigma^2) \). Here, the variance is \( 5 \), so the standard deviation is \( \sqrt{5} \).)