Step 1: Use the raw-moment formula for variance instead.
An equivalent way to compute variance is $\sigma^2 = \frac{\sum X^2}{N} - \bar{X}^2$, meaning the average of the squares of the numbers, minus the square of the mean. This avoids working with negative deviations.
Step 2: Square each number and add them up.
$25^2 = 625$, $30^2 = 900$, $35^2 = 1225$, $40^2 = 1600$, $45^2 = 2025$.
Adding these: $625 + 900 + 1225 + 1600 + 2025 = 6375$.
Step 3: Divide by N to get the average of the squares.
\[ \frac{6375}{5} = 1275 \]
Step 4: Subtract the square of the mean.
The mean is 35, so $\bar{X}^2 = 35^2 = 1225$.
\[ \sigma^2 = 1275 - 1225 = 50 \]
This matches the value found by the deviation method, confirming variance is genuinely 50.
Step 5: Compare with the choices.
Since none of 200, 250, 100 or 150 equal 50, no option in this question is correct, and the answer is left unmarked as disputed rather than forcing a wrong choice.
Final Answer:
Both methods agree the variance is 50, a value absent from the given options, so the question has no valid listed answer.
\[ \boxed{\sigma^2 = 50 \text{ (not listed)}} \]