Assertion: sample | /r/HasProperty | $x_1,\ldots
Facets:
Source sentences:
text: If the sample is $X_1,\ldots,X_n$, and the population is normally distributed, is it the maximum-likelihood estimator $\sqrt{\frac 1 n \sum_{i=1}^n (X_i-\bar X)^2}$ of the population standard deviation, where $\bar X = (X_1+\cdots+X_n)/n$, or is it square root of the unbiased estimator of the variance, $\sqrt{\frac 1 {n-1} \sum_{i=1}^n (X_i-\bar X)^2}$ (which is not an unbiased estimator of the population standard deviation) or something else?