TY - CHAP
M1 - Book, Section
TI - Chapter 4. The Special Case of Two Groups: The t Test
A1 - Glantz, Stanton A.
Y1 - 2012
N1 -
T2 - Primer of Biostatistics, 7e
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.
SN -
PB - The McGraw-Hill Companies
CY - New York, NY
Y2 - 2024/10/14
UR - accessbiomedicalscience.mhmedical.com/content.aspx?aid=57413217
ER -