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

Received: 27 June 2018     Accepted: 17 July 2018     Published: 14 August 2018
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Abstract

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.

Published in International Journal of Applied Mathematics and Theoretical Physics (Volume 4, Issue 2)
DOI 10.11648/j.ijamtp.20180402.13
Page(s) 50-54
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2018. Published by Science Publishing Group

Keywords

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

References
[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.
Cite This Article
  • 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

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    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

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    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

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  • @article{10.11648/j.ijamtp.20180402.13,
      author = {Banda Gerald},
      title = {A Brief Review of Independent, Dependent and One Sample t-test},
      journal = {International Journal of Applied Mathematics and Theoretical Physics},
      volume = {4},
      number = {2},
      pages = {50-54},
      doi = {10.11648/j.ijamtp.20180402.13},
      url = {https://doi.org/10.11648/j.ijamtp.20180402.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijamtp.20180402.13},
      abstract = {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.},
     year = {2018}
    }
    

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    AB  - 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.
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Author Information
  • Department of Mathematics and Statistics, Mukuba University, Itimpi Campus, Kitwe, Zambia

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