RT Book, Section
A1 Glantz, Stanton A.
SR Print(0)
ID 57413217
T1 Chapter 4. The Special Case of Two Groups: The t Test
T2 Primer of Biostatistics, 7e
YR 2012
FD 2012
PB The McGraw-Hill Companies
PP New York, NY
SN 978-0-07-178150-3
LK accessbiomedicalscience.mhmedical.com/content.aspx?aid=57413217
RD 2024/10/14
AB As we have just seen in Chapter 3, many investigations require comparing only two groups. In addition, as the last example in Chapter 3 illustrated, when there are more than two groups, analysis of variance only allows you to conclude that the data are not consistent with the hypothesis that all the samples were drawn from a single population. It does not help you decide which one or ones are most likely to differ from the others. To answer these questions, we now develop a procedure that is specifically designed to test for differences in two groups: the t test or Student's t test. While we will develop the t test from scratch, we will eventually show that it is just a different way of doing an analysis of variance. In particular, we will see that F = t2 when there are two groups.