Statistical Tests Applicable to Aquaculture Research
Book-chapter in, "Applied Bioinformatics, Statistics & Economics in Fisheries Research”, Edited by Roy & Sarangi, published by New India Publishing Agency, New Delhi  ISBN 10: 81-89422-86-3
4 Pages Posted: 4 Apr 2016 Last revised: 25 Apr 2016
Date Written: February 1, 2008
The article tries to summarise the various statistical tests which can usually be used in Fisheries Sciences including Aquaculture Research. It first presents the formal research process and the different stages/ steps of (experimental/empirical) research, so that the researcher knows where and why a statistical test may be used.
It presents the formula used for small sample and large sample tests, and also the Non-parametric Tests (NPT). It discusses analysis of nominal and ordinal data.
In Fisheries Sciences, researchers often handle quantitative data and cross-classified/ tabulated records for analysis. In some cases quantitative measurement is not appropriate or possible. In the investigation, we then make only the qualitative assessments. In such cases, we use two types of qualitative variables: a) Nominal Variables, and b) Ordinal Variables.
The nominal or categorical data are usually classified according to some attributes or traits. Category labels are just the names, and have no quantitative consideration. When put it in a cross classification table, our objective would then usually be “to study the existence of possible association among the categories”.
Keywords: Statistical Tests, Fishery Sciences, Aquaculture Research, Hypothesis Testing
JEL Classification: C40, C12, C81, Q12
Suggested Citation: Suggested Citation