TY  - CHAP
M1  - Book, Section
TI  - Chapter 4. The Special Case of Two Groups: The t Test
A1  - Glantz, Stanton A.
PY  - 2012
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  - 2024/04/19
UR  - accessbiomedicalscience.mhmedical.com/content.aspx?aid=57413217
ER  -