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A Brief Review of Independent, Dependent and One Sample t-test

In statistics it is important to know the method of analysing data. The study looked at parametric tests with a special focus on the three t-tests. In this paper, the researcher provide a brief review of commonly used three t-tests namely an independent sample t-test, dependent sample-test and one sample t-test. The researcher has presented the formulae for calculating an independent sample t-test, dependent sample-test and one sample t-test. Procedures have also been written in this article on how to conduct the three t-tests in SPSS. The article has also looked at the formulae for calculating the effect size and its important when conducting a study.

Independent Sample t-test, Dependent Sample t-test, One Sample t-test, Effect Size

APA Style

Banda Gerald. (2018). A Brief Review of Independent, Dependent and One Sample t-test. International Journal of Applied Mathematics and Theoretical Physics, 4(2), 50-54. https://doi.org/10.11648/j.ijamtp.20180402.13

ACS Style

Banda Gerald. A Brief Review of Independent, Dependent and One Sample t-test. Int. J. Appl. Math. Theor. Phys. 2018, 4(2), 50-54. doi: 10.11648/j.ijamtp.20180402.13

AMA Style

Banda Gerald. A Brief Review of Independent, Dependent and One Sample t-test. Int J Appl Math Theor Phys. 2018;4(2):50-54. doi: 10.11648/j.ijamtp.20180402.13

Copyright © 2018 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

1. Andy (2009). Discovering Statistics using SPSS 3rd Edition. SAGE Publication Ltd.
2. Bester, G., Smit, M. E. and Swanepoel, C. H (2011). Tutorial letter 102 / 2011, Workbook for Research, University of South Africa.
3. Daniel. M (2004). Doing Quantitative Research in Education with SPSS: New Delhi, India.
4. Douglas C. M and George C. R (2003). Applied Statistics and Probability for Engineers 3rd Edition. John Wiley & Sons, Inc.
5. George, A. M et al (2011). IBM SPSS for Introductory Statistics use and Interpretation Fourth Edition. Routledge Taylor & Francis Group 270 Madison Avenue. New York, NY 10016.
6. Kothari, C. R. (2004). Research Methodology: Methods and Techniques. Jaipur: NEW AGE.
7. Marilyn, K. P and Theresa, M. S (2003). Elementary Statistics. John Wiley and Sons, Inc. USA.
8. Mario, F. T (2012). Elementary Statistics 11TH Edition. Pearson Education Inc. Boston, USA.
9. McMillan, J and Schumacher, S (2010). Research in Education. Evidence base Inquiry. 7th Edition, International Edition Boston: Pearson Education Inc.
10. Morten, W. F (2012). T-tests, Non-Parametric Tests, and Large Studies-A Paradox of Statistical Practice. BMC Medical Research Methodology.
11. Nicholas, W (2011). Research Methods: The Basics. London: Routledge.
12. Pallant, J. (2007). SPSS Survival Manual: A Step by Step to Data Analysis Using SPSS for Windows (Version 15). Sydney: Allen and Unwin.
13. Pandey, R. M (2015). Commonly Used t-tests in Medical Research. Journal of the Practice of Cardiovascular Sciences. Volume 1. Issue 2.
14. University of Arizona Military Reach (2009). Understanding t-tests.
15. Tae, K. K (2015). T Test as a Parametric Statistics. Korean Journal of Anesthesiology. Korean J Anesthesiol. 2015 Dec; 68(6): 540-546.
16. Younis, S (2015). The Bread and Butter of Statistical Analysis ‘t-tests’: Uses and Misuses. Pakistan Journal of Medical Sciences. Pak J Med Sci.2015 Nov-Dec: 31(6):1558-1559.