At 03:13 PM 1/6/2003, Quadratic wrote:

since the t test or, the ci are based on the same information ....

it has to be: A) the standard ERROR of the difference in means, or B) the critical value for t being used (based on df)

the actual difference in means is a constant

so, these seem to be the only two options to examine

given the intervals you have ... -73 ... 5 .... wider .... -71 ... -3 ... narrower ... i am guessing in the second ... the df is based on n1-- + n2-1 ... rather than the 6 that you have used ... calculators and computers are not likely to use a shortcut rule for such a thing ... the n-1 of the SMALLER sample is just a rule of thumb ...


For example:  x1bar = 349, x2bar = 383 (sample means), s1 = 19.6, s2=
39.5 (sample standard deviations), n1 = 10, n2 = 7 (sample sizes),
find a 95% confidence interval for mu1 - mu2 (difference in population
means).  When I use the formula in the textbook with critical t =
2.447 (df = 6, using one less than the smaller sample size) from the
table, I get 349 - 383 +/- 2.447*sqrt[19.6^2/10 + 39.5^2/7] which
comes out to the interval (-73.56, 5.56).  However, when I put the
same information into the TI-83 (option "0" on the TESTS menu) and
choose "no" for pooled, it gives me the interval (-71.21, 3.21).  If I
do a t-test with the same data, it comes out the same either way.
What am I doing wrong?

Thank you.

Howard Wachtel
Delaware Valley College
[EMAIL PROTECTED]
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dennis roberts, educational psychology, penn state university
208 cedar, AC 8148632401, mailto:[EMAIL PROTECTED]
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