To determine the standard deviation, let's proceed step by step:

1. Recall the formula for standard deviation: $\sigma = \sqrt{\frac{\sum (x_i - \mu)^2}{n}}$ Here, $\sigma$ is the standard deviation, $x_i$ represents each data point, $\mu$ is the mean, and $n$ is the number of data points.

2. Confirm the context:

   • If the previous answer referenced a value like the sum of squared deviations (e.g., $\sum (x_i - \mu)^2$), that value should now be divided by $n$ or $(n-1)$ (depending on whether the data set is for a population or sample) and then square-rooted.
   • If the previous answer itself was the variance, simply take its square root.

3. Rounding: After computing the square root, round the result to the nearest hundredth.

Please provide the exact value or dataset referenced in the previous step so I can accurately compute the standard deviation.