| To: | s-news@lists.biostat.wustl.edu, Xao Ping <xao_ping@yahoo.com> |
|---|---|
| Subject: | Re: small deviation, great effect |
| From: | Jim Stapleton <stapleton@stt.msu.edu> |
| Date: | Wed, 25 Jun 2003 17:05:54 -0400 |
| In-reply-to: | <20030625195146.55200.qmail@web20708.mail.yahoo.com> |
Dear All: Let F(x) = .999 phi(x) + .001 G(x), where G is the cdf which puts mass 1 at 1 million. phi is the std normal cdf. F and phi are "close", depending of course on how "closeness" is measured. Let X be a std. normal cdf with prob .999 and be 1 million with prob. 0.001. X has cdf F(x). . For small samples from F (say < 100) the sample is unlikely to contain the 1 million, and the sample mean will be small . However, for n = k (1000), with k not close to zero, the probability that the sample with contain the 1 million is approximately 1 - exp(-k) , and the mean will be at least (1 million)/(1000 k) = 1000/k. Jim Stapleton
Professor and Graduate Director Dept. of Statistics and Probability Michigan State University 517-355-9678 |
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