• Printed Journal
  • Indexed Journal
  • Refereed Journal
  • Peer Reviewed Journal
Journal of Pharmacognosy and Phytochemistry

Journal of Pharmacognosy and Phytochemistry

Vol. 7, Special Issue 3 (2018)

Common errors while applying design of experimentation in special reference to aromatic and medicinal plant

Author(s):

Dr. Alok Shrivastava, Dr. V Singh, Dr. KG Patel, Dr. Deepa Hiremath and Dr. Dinisha Abhishek

Abstract:
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. 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 behaviour 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 of design of experiment and techniques used for analysis and interpretation of investigations and also discuss the experimental.

Pages: 290-296  |  2132 Views  1221 Downloads

How to cite this article:
Dr. Alok Shrivastava, Dr. V Singh, Dr. KG Patel, Dr. Deepa Hiremath and Dr. Dinisha Abhishek. Common errors while applying design of experimentation in special reference to aromatic and medicinal plant. J Pharmacogn Phytochem 2018;7(3S):290-296.

Call for book chapter