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What is statistical tool for agricultural research?

What is statistical tool for agricultural research?

STAR
Statistical Tool for Agricultural Research (STAR) is a computer program for data management and basic statistical analysis of experimental data.

Which software is used for research analysis?

Software Access

Software Mac/Windows DS Lab
Stata Both
SAS Windows
R Both
MATLAB Both

What are the methods of agricultural research?

Descriptive statistics and data presentation. Inferential statistics and decision-making. Case studies, surveys and questionnaires. Computer based application of statistics to agricultural research.

What is star and how can it be useful in the field of agricultural research?

It also introduces the Statistical Tool for Agricultural Research (STAR), a user-friendly software that uses GUI created in Java and functions developed in R to assist crop scientists in the design and analysis of data. It is intended for researchers in the Agricultural and Biological Sciences.

How do I install Cropstat?

To install the program on your computer, unzip the file and run the file SETUP. EXE in the installation folder. To start the program, run the file CROPSTAT. EXE, or click the icon that will be installed by the SETUP program.

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Which analysis software is best?

Below is the list of top 10 of data analytics tools, both open source and paid version, based on their popularity, learning and performance.

  • R Programming. R is the leading analytics tool in the industry and widely used for statistics and data modeling.
  • Tableau Public:
  • SAS:
  • Apache Spark.
  • Excel.
  • RapidMiner:
  • KNIME.
  • QlikView.

What is the role of statistics in agriculture?

Many data in agriculture are of numerical character which are accompanied with the existence of the variability of data. Variability is a characteristic of biological and agricultural data. Statistics can be used as a tool for research, spreading in many fields of research, like in agronomy.

What are the techniques used for controlling experimental error in agricultural research?

The techniques used to reduce experimental error to increase the precession of experiment form the basic principles of experimental designs. viz; replication, randomization and local control. The repeated application of the treatments under investigation is known as replication.

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What is the use of SPSS tool in agriculture?

We perform linear regression analysis by using SPSS software, which compares the previous year data to obtain a conclusion that what will be the possible production of crops. Analysis will be perform on certain factor like climate, water supply, soil fertility, pesticides used, etc.