Path: news.mathworks.com!newsfeed-00.mathworks.com!newsfeed2.dallas1.level3.net!news.level3.com!postnews.google.com!c3g2000yqd.googlegroups.com!not-for-mail
From: arun <aragorn168b@gmail.com>
Newsgroups: comp.soft-sys.matlab
Subject: p-values
Date: Mon, 2 Nov 2009 04:16:27 -0800 (PST)
Organization: http://groups.google.com
Lines: 6
Message-ID: <f5889743-7afb-4534-ae77-66c0026c0ce2@c3g2000yqd.googlegroups.com>
NNTP-Posting-Host: 134.2.247.237
Mime-Version: 1.0
Content-Type: text/plain; charset=ISO-8859-1
X-Trace: posting.google.com 1257164187 27704 127.0.0.1 (2 Nov 2009 12:16:27 GMT)
X-Complaints-To: groups-abuse@google.com
NNTP-Posting-Date: Mon, 2 Nov 2009 12:16:27 +0000 (UTC)
Complaints-To: groups-abuse@google.com
Injection-Info: c3g2000yqd.googlegroups.com; posting-host=134.2.247.237; 
	posting-account=fyqXpgoAAABqt-0BifyaNxmZhzggFACu
User-Agent: G2/1.0
X-HTTP-UserAgent: Mozilla/5.0 (Macintosh; U; Intel Mac OS X 10.6; en-US; 
	rv:1.9.1.4) Gecko/20091016 Firefox/3.5.4,gzip(gfe),gzip(gfe)
Xref: news.mathworks.com comp.soft-sys.matlab:581793


Hi,

I have 2 random variables x and y. I calculate the correlation between
x and y. Then I permute y a 1000 times and compute the correlation
each time between x and permuted y (bootstrap approach). Could anyone
suggest how to compute the p-values from this??