Survey Questionnaire

Topics: Statistics, Sample size, Statistical hypothesis testing Pages: 17 (10347 words) Published: August 17, 2014
World Journal of Agricultural Sciences 8 (6): 568-584, 2012
ISSN 1817-3047
© IDOSI Publications, 2012
DOI: 10.5829/idosi.wjas.2012.8.6.1688

An Insight in Statistical Techniques and
Design in Agricultural and Applied Research
Ajay S. Singh and Micah B. Masuku
Department of Agricultural Economics and Management,
Faculty of Agriculture, University of Swaziland, Swaziland
Abstract: Advance applied science researches have experienced a dramatic change in knowledge and an exponential increase in technology. A lot of these technical developments involve agricultural researches and these researches deal with groups rather than individual cases and usually field and experimental study. The goal of applied research is to provide data to support existing knowledge by filling information gaps or develop new methods. Agricultural research requires proper study design, management, data collection and analysis to obtain statistically sound results. Agricultural researchers and scientists have an important role to play in the agricultural production and development of a nation. In view of the day to day radical changes in agricultural research, the scenario is becoming tough for agricultural scientists and associated scholars. Statistical science is concerned with the aspect of theory of design of experiments and sample investigation and drawing valid inferences from using various statistical methods. The statisticians design the experiments, trials and analyze the data and interpret the facts. Statistical design and technique helps to describe the involvement of complex phenomena and behavior of agricultural growth. The impact of associated factor can be analyzed with the help of simple statistical design, sampling techniques with inferential statistics. The techniques of drawing valid interpretation depend on how the data has been gathered and also depending upon the research objective. This paper describes the basic concept of statistical research design and techniques used for analysis and interpretation of investigations and also discuss the experimental error and biasness in the research investigation.

Key words: Hypothesis Testing

Parametric Test

Statistical Power



consumption instead of trade. A remarkable swift in
agricultural practices has occurred over the past century
in adoption to new technologies and the development of
world markets and also led to technological improvements
in agricultural techniques.
Modern agronomy, plant breeding, pesticides and
fertilizers and technological improvements have sharply
increased yields from cultivation, but at the same time
have caused widespread ecological damage and negative
human health effects [4]. Selective breeding and modern
practices in animal husbandry such as intensive pig
farming have similarly increased the output of meat,
but have raised concerns about animal cruelty and the
health effects of the antibiotics, growth hormones and
other chemicals commonly used in industrial meat
production [5].

Agriculture also called farming or husbandry for
cultivation of animals, plants, fungi and other life forms
for food, fiber, bio-fuel and other products used to sustain life [1]. Agriculture was the key development in the rise of sedentary human civilization, whereby farming of
domesticated species created food surpluses that
nurtured the development of civilization. The study of
agriculture is known as agricultural science. Agriculture
generally speaking refers to human activities, although
it is also observed in certain species of ant and termite
[2, 3]. Until the Industrial Revolution, the majority of the human population engaged in agriculture. Pre-industrial
agriculture was typically subsistence agriculture in which
farmers raised most of their crops for their own
Corresponding Author:

Design of Experiment

Ajay S. Singh, Department of Agricultural Economics and Management, Faculty of...

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