Quito Quito <[EMAIL PROTECTED]> wrote:

>> Dear readers:

>> Suppose I have computed that the 95% confidence interval for the
>> difference, (u1 - u2), of means from two populations is (-3.2, 5.1)
>> which contains the value 0, can I say that u1 and u2 are equal to
each
>> other? If so, what is the confidence level I can have to say so?

(later similar questions snipped)

Simple answer: No.

More complex answer: The definition of a confidence interval is (from
The Cambridge Dictionay of Statistics, by B.S. Everitt) 
"A range of values, calculated from the sample observations, that are
believed, with a particular probablity, to contain the true parameter
value. A 95% CI, for example, implies that were the estimation process
repeated again and again, then 95% of the calculated intervals would be
expected to contain the true parameter value.  Note that the stated
probablity level refers to properties of the interval and not to the
parameter itself, which is not considered a random variable....."

Unless you get the entire population, you cannot say that the
population means are equal.  In any case, exact equality is rarely (if
ever) of interest.  Say, e.g. we do something silly and try to predict
weight based on social security number (odd vs. even).  If we got the
weight and SSN of everyone in the USA, the two averages would not be
identical (although they'd probably be close).  Say the average weight
of people with odd SSNs is 125.2939 pounds, and that for those with even
SSNs is 125.2937 pounds.  These are not equal.  Unless we got a huge
sample, however, the CI would include 0.  

Looking at it another way, a CI, no matter how calculated, does not
allow you to accept the null hypothesis of no difference, it only allows
you to fail to reject it (e.g. "Based on this study, we cannot conclude
that there is a difference" rather than "Based on this study, we
conclude that there is no difference"

HTH



Peter L. Flom, PhD
Assistant Director, Statistics and Data Analysis Core
Center for Drug Use and HIV Research
National Development and Research Institutes
71 W. 23rd St
www.peterflom.com
New York, NY 10010
(212) 845-4485 (voice)
(917) 438-0894 (fax)


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