CLASSIFYING THE STATES OF INDIA THROUGH RICE, WHEAT, AND GROUNDNUT USING STATISTICAL GRAPHICS

S.T. TSIGBEY¹, H. SAIKIA²*, P. MISHRA³, R.S. SAIKIA^4
1Department of Agricultural Statistics, Assam Agricultural University, Jorhat, 785013, Assam, India
²Discipline of Agricultural Statistics, College of Sericulture, Assam Agricultural University, Jorhat, 785013, Assam, India
³Department of Agricultural Extension and Education, Assam Agricultural University, Jorhat, 785013, Assam, India
⁴Department of Agricultural Economics and Farm Management, Assam Agricultural University, Jorhat, 785013, Assam, India
* Corresponding Author : hemanta.saikia@aau.ac.in

Received : 01-08-2020     Accepted : 13-08-2020     Published : 15-08-2020
Volume : 12     Issue : 15       Pages : 10109 - 10113
Int J Agr Sci 12.15 (2020):10109-10113

Keywords : Change Point, Index Number, Regression, Statistical Graphics
Academic Editor : Prema M. Shanmuga
Conflict of Interest : None declared
Acknowledgements/Funding : Authors are thankful to Department of Agricultural Statistics, Assam Agricultural University, Jorhat, 785013, Assam, India
Author Contribution : All authors equally contributed

The purpose of this study is to classify the states of India on the basis of three principle crops viz. rice, wheat, and groundnut using statistical graphics. In order to do that the three different indices of area, production, and productivity are devised at first. Thereafter a scatter plot is depicted considering ‘area index’ as independent variable and ‘productivity index’ as dependent variable and then a linear regression line is being fitted along with confidence band for classification of the states. The classification of Indian states in such a way acts as a rudimentary input to the planners and policymakers responsible for designing efficient agricultural policies, and for making significant decisions concerning procurement, storage, public distribution, import, export, and other important related issues.

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