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- From: dr3u+@andrew.cmu.edu (Daniel Read)
- Newsgroups: sci.math.stat
- Subject: Fwd: Standard Deviation.
- Message-ID: <seX2yRq00Uh785H2EB@andrew.cmu.edu>
- Date: 14 Aug 92 22:11:41 GMT
- References: <1992Aug14.172833.11844@cbfsb.cb.att.com>
- Organization: Engineering and Public Policy, Carnegie Mellon, Pittsburgh, PA
- Lines: 19
-
- ---------- Forwarded message begins here ----------
-
- Can someone explain why calculating the Standard Deviation (SD),
- for small samples, with (n-1) in the denominator is better than
- doing so with (n) in the denominator? I'm sure that there's
- a perfectly good reason for doing so. But we, lowly engineers
- aren't usually told the reason. Thanks now, for your response later.;-)
-
- RESPONSE (and my own query):
-
- The variance increases as a function of sample size. That is, a small
- sample will systematically underestimate the population variance (if we
- estimate the population variance with denominator N-1). Using this
- reduced denominator therefore has the effect of increasing the variance
- estimate.
-
- My question: why does a small sample underestimate the population variance?
-
- daniel read
-