Pandas and NumPy Return Different Values for Standard Deviation. Why?
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Pandas assumes that the data is a sample of the population and that the obtained result can be biased towards the sample. Thus, to generate an unbiased estimate, it uses (n-1) as the dividing factor instead of n. In statistics, this is also known as Bessel's correction.
Pandas and NumPy Return Different Values for Standard Deviation. Why?
Pandas and NumPy Return Different Values for…
Pandas and NumPy Return Different Values for Standard Deviation. Why?
Pandas assumes that the data is a sample of the population and that the obtained result can be biased towards the sample. Thus, to generate an unbiased estimate, it uses (n-1) as the dividing factor instead of n. In statistics, this is also known as Bessel's correction.