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Use and Misuse of Statistics in Agricultural Research

M. Z. A. Khan
Department of Agricultural Ststistics Bangladesh Agricultural University, Mymensingh.

Abstract/ Executive Summary:

Statistical presentations, Estimation & testing , Probability, Statistics! analysis, Treatment structure. Standard error, Factorial experiment, Coefficient of variations, Analysis of variance, Random variation, Regression models, Non·parametric tests , Covariance analysis,Inter-cropping experiments.

Keywords: Use and misuse, Statitics, Agricultural research, Examine

Location: Department of Agricultural Ststistics, Bangladesh Agricultural University ( BAU) , Mymensingh

Start Date:

End Date:

Program Area: Socio-economic and Policy

Non-commodity: Analysis and interpretations

Objectives:

TO EXAMINE THE USE AND MISUSE OF STATISTICS IN AGRICULTURAL RESEARCH

Methodology:

In case of dealing with inter cropping data many agricultural researcher seem to think that a good analysis can be obtained by adding the yields of quite different crops. Others carryout two quite separate analysis. Neither is correct. Land Equivalent Ratios that can only guide to interpret the results of the experiment are frequently wrongly put into the analyzesis of variance despite normality assumptions not being adhered to. Mead and Stern (1979) stated that several different analysis should be used for most lnter cropping experiments. It is possible to combine the yields from the two crops in a bivariate analysis of variance (Pearce and Gulliver, 197.8).

Source of Information: Bangladesh J. Agril. Sci. 19 .(2) ; 339-342;July, 1992 ISSN 0379-4296

Article Link (Online Journal):

Funding Source:

Total Budget (Tk.) :

Achievement/Findings:

Numerous examples of the poor use of statistics are found In the research work of many agricultural scientists . This is fully attributable to the inadequate exposure of these scientists to statistics while they were students as well as the lack of collaboration between them and statisticians. The incidence of poor statistical usage in agricultural researches is widespread in developing countries like Bangladesh where students' attitude towards learning of statistics while following courses in agriculture Is of avoidance in nature, and the met hods and resources of teaching of the subject are also poor.

Knowledge Management: Journal