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Statistical Inference

In: Applied Statistics for Agriculture, Veterinary, Fishery, Dairy and Allied Fields

Author

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  • Pradip Kumar Sahu

    (Bidhan Chandra Krishi Viswavidyalaya, Department of Agricultural Statistics)

Abstract

As has already been discussed, the objective of statistics is to study the population behavior. And in the process generally we are provided with the samples, parts of the population. The experimenter or the researchers are to infer about the population behavior based on the sample observations. Here lies the importance of accuracy and efficiency. The whole process of studying the population behavior from the sample characteristics is dealt in statistical inference. Statistical inference mainly has two components, viz., estimation and testing of hypothesis. In estimation part, we are generally concerned with estimating/identifying measures or to have an idea about the measures which can be used for measuring population characters efficiently. On the other hand, in testing of hypothesis, we are concerned about testing/deciding how far the information based on sample observations could be used for population.

Suggested Citation

  • Pradip Kumar Sahu, 2016. "Statistical Inference," Springer Books, in: Applied Statistics for Agriculture, Veterinary, Fishery, Dairy and Allied Fields, chapter 6, pages 133-194, Springer.
    • Handle: RePEc:spr:sprchp:978-81-322-2831-8_6
    DOI: 10.1007/978-81-322-2831-8_6
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