To understand the calculation of the standard deviation (denoted as \( \text{stdevp} \)), we need to clarify that standard deviation is the square root of the variance.
Given that the variance (\( \sigma^2 \)) is equal to 2067.79, you can calculate the standard deviation by taking the square root of the variance:
\[ \sigma = \sqrt{\text{variance}} = \sqrt{2067.79} \]
Calculating that gives:
\[ \sigma \approx 45.5 \]
So, the standard deviation for a variance of 2067.79 is approximately 45.5, regardless of the mean which is given as 241 from your other calculation \( 5784 \div 24 = 241 \).
Thus, the final answer is:
\[ \text{Standard Deviation (stdevp)} \approx 45.5 \]