avatar
c*w
1
sorry for using English...
does anyone know how sas computes its skewness?
it looks like sas computes variance by: sum(x - xmean)^2/(N-1)
for skewness, it looks like it has something to do with N as well,
not simply sum(x - xmean)^3/(sqrt(variance)^3).
avatar
r*y
2

In some software package, skewness is defined with " - 3" so that
the skewness of the normal distribution is 0. In others, it might be without
this "- 3".

【在 c*w 的大作中提到】
: sorry for using English...
: does anyone know how sas computes its skewness?
: it looks like sas computes variance by: sum(x - xmean)^2/(N-1)
: for skewness, it looks like it has something to do with N as well,
: not simply sum(x - xmean)^3/(sqrt(variance)^3).

avatar
c*w
3
en... maybe you are talking about kurtosis.
for skewness, it's third moment, so skewness of standard normal is 0,
because standard normal is symmetric.

【在 r****y 的大作中提到】
:
: In some software package, skewness is defined with " - 3" so that
: the skewness of the normal distribution is 0. In others, it might be without
: this "- 3".

avatar
s*t
4
This one is right.

【在 c*w 的大作中提到】
: en... maybe you are talking about kurtosis.
: for skewness, it's third moment, so skewness of standard normal is 0,
: because standard normal is symmetric.

avatar
r*y
5

Yeah, I am wrong, I mixed them together. //blush

【在 c*w 的大作中提到】
: en... maybe you are talking about kurtosis.
: for skewness, it's third moment, so skewness of standard normal is 0,
: because standard normal is symmetric.

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