Compute unbiased sample variance and standard deviation using Bessel's correction.
Sample Variance (Bessel Correction):
s2=n−11i=1∑n(xi−xˉ)2Standard Deviation: s=s2
x: list or array - Numeric data (n ≥ 2)Input: x=[1,2,3]
Output: var=1.0, std=1.0
Input: x=[5,7]
Output: var=2.0, std=1.414
Input: x=[4,4,4,4]
Output: var=0.0, std=0.0
Compute mean first: mean_x = np.mean(x).
Use np.sum((x - mean_x) ** 2) / (n - 1) for variance.
Standard deviation is np.sqrt(var).
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Accepts: array
Compute unbiased sample variance and standard deviation using Bessel's correction.
Sample Variance (Bessel Correction):
s2=n−11i=1∑n(xi−xˉ)2Standard Deviation: s=s2
x: list or array - Numeric data (n ≥ 2)Input: x=[1,2,3]
Output: var=1.0, std=1.0
Input: x=[5,7]
Output: var=2.0, std=1.414
Input: x=[4,4,4,4]
Output: var=0.0, std=0.0
Compute mean first: mean_x = np.mean(x).
Use np.sum((x - mean_x) ** 2) / (n - 1) for variance.
Standard deviation is np.sqrt(var).
Sign in to take notes on this problem
Accepts: array