Abstract
In Chap. 2, the one-sample t-test was introduced to test whether or not a single mean of a population is equal to a certain value. Chapter 3 will introduce the extension of the t-test to examine whether or not the difference between the two population means is equal to a certain value. Two situations will be discussed of which the first is when the two means are from independent (i.e., unrelated) populations, and the second is when the two means are from related populations.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Bibliography
Dawson B, Trapp RG (1994) Basic & clinical biostatistics, 4th edn. Appleton & Lange, Norwalk
Glantz SA (2005) Primer of biostatistics, 6th edn. McGraw Hill Professional, New York
Pagano M, Gauvreau K (1993) Principles of biostatistics. Duxbury Press, Belmont
Rosner B (2010) Fundamentals of biostatistics, 7th edn. Cengage Learnings, Boston
Snecdecor GW, Cochran WG (1991) Statistical methods, 8th edn. Wiley-Blackwell, Malden
Zar JH (2010) Biostatistical analysis, 5th edn. Prentice-Hall/Pearson, Upper Saddle River
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Lee, H. (2014). t-Tests for Two Means Comparisons. In: Foundations of Applied Statistical Methods. Springer, Cham. https://doi.org/10.1007/978-3-319-02402-8_3
Download citation
DOI: https://doi.org/10.1007/978-3-319-02402-8_3
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-02401-1
Online ISBN: 978-3-319-02402-8
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)