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Abstract            Volume:7  Issue-11  Year-2019         Original Research Articles


Online ISSN : 2347 - 3215
Issues : 12 per year
Publisher : Excellent Publishers
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The Derivation and Choice of Appropriate Test Statistic (Z, t, F and Chi-Square Test) in Research Methodology
Teshome Hailemeskel Abebe
Department of Economics, Ambo University, Ethiopia
*Corresponding author
Abstract:

This paper aims to choose an appropriate test statistic for research methodology. Specifically, it tries to explore the concept of statistical hypothesis test, derivation of the test statistic and its role on research methodology. It also try to show the basic formulating and testing of hypothesis using test statistic since choosing appropriate test statistic is the most important tool of research. To test a hypothesis various statistical test like Z-test, Student’s t-test, F test (like ANOVA), Chi square test were identified. In testing the mean of a population or comparing the means from two continuous populations, the z-test and t-test were used, while the Ftest is used for comparing more than two means and equality of variance. The chi-square test was used for testing independence, goodness of fit and population variance of single sample in categorical data. Therefore, choosing an appropriate test statistic gives valid results about hypothesis testing.

Keywords:

Test Statistic, Z-test, Student’s t-test, F test (like ANOVA), Chi square test, Research Methodology

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How to cite this article:

Teshome Hailemeskel Abebe. 2019. The Derivation and Choice of Appropriate Test Statistic (Z, t, F and Chi-Square Test) in Research Methodology.Int.J.Curr.Res.Aca.Rev. 7(11): 35-44
doi: https://doi.org/10.20546/ijcrar.2019.711.005
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.