Agricultural Statistics

Land, Agriculture and Food Sciences

Course Overview

This course is designed to provide Delegates with knowledge of elements of statistics –Data collection, analysis and interpretations; Sampling techniques; Probability and non-probability sampling - Simple random sampling, stratified sampling, purposive sampling. Computations of arithmetic mean, mode, median, variance and standard deviation. Delegates will also be acquainted with the Elementary concept of probability, Rules of Probability, joint Probability, Conditional Probability, Discrete and Continuous Random Variables, Binomial probability distribution, Normal Distributions and Normal approximation for a binomial distribution;
Correlation and Regression analyses; Statistical independence; Permutation and combination; Hypotheses testing. Tests of significance in agricultural research and experimentation design. Review of research methods, Research methodology

Course Objectives

  • Have a general understanding of basic statistics and how it applies to research.
  • Have a basic understanding of experimental design; how to plan, conduct, analyze and interpret results of basic experiments.
  • Be able to interpret results of experiments as presented in scientific journals, technical reports and similar publications.
  • Be able to conduct and interpret the results of surveys.
  • Be able to input and manage data in a spreadsheet such as Excel.
  • Develop insight into essence of data collection and analysis to address important economic issues
  • Understanding of the place of statistics in the ethical considerations and overall design of experimentation

Course Outline

Basic concepts

  • Production units
  • Crop production statistics
  • Statistics on Livestock 
  • Statistics on fisheries and aquaculture
  • Forest Statistics and agro forestry
  • Environmental Statistics
  • Nomenclatures

Methodology of agricultural census

  • Methodology of agricultural censuses and surveys
  • Methodology of surveys
  • Use of new technologies

Data Sources

  • Administrative data
  • Census and survey Data

Data collection

  • Awareness raising
  • Data collection phases
  • Summary and control

Agricultural Sample Surveys and Censuses

  • Review of Sampling plans for agricultural surveys in some country examples
  • Inclusion of new information needs
  • Development of a master sampling frame and use of new technologies
  • Description and structure of a sample design
  • Sampling Errors

Sampling Design for Agricultural Surveys

  • Current Practices in Agricultural Data Processing
  • Data Archiving
  • Analysis techniques (multivariate, small area estimation, spatial data, etc.)
  • Statistical Sofware Packages
  • Data management systems ; data security

Economic Accounts for Agriculture

  • Basic concepts and elements for the development of the economic accounts of agriculture (EAA)
  • Basic unit; the output concept in agriculture, Evaluation of production and pricing systems
  • Composition and evaluation of intermediate consumption Determination of items under the operating account and the treatment of EAA subsidies
  • Composition and Evaluation of gross fixed capital formation (GFCF) of the agricultural sector
  • Business income and Capital account
  • Values, volumes, prices and measurement of economic growth in agriculture

Supplementary Topics

  • Food Security
  • Rural development and rural statistics (indicators)
  • Early warning systems
  • Gender statistics
  • Agri environmental Indicators
Study Online


1 Week Face to Face Classes


2 Week Face to Face Classes


Course Features
  • 8 Weeks Online
  • 1-2 Weeks Classes
  • Certified

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