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Statistical methods : for agricultural and biological sciences / S.J. Amdekar.

By: Publisher: Oxford, U.K. : Alpha Science International Ltd., 2014Copyright date: ©2014Description: 1 volume (various pagings) ; 25 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 1842658522
  • 9781842658529
Subject(s):
Contents:
Probability and probability distributions -- Sampling distributions -- Testing of hypothesis -- Analysis of variance -- Correlation and regression analysis -- Design of experiment -- Factorial experiment.
Summary: Statistical Methods for Agricultural and Biological Sciences introduces basic statistical concepts as are required for understanding of applications of statistical techniques. There is simplicity in presentation involving no mathematical derivations. All the topics are introduced as well as explained with live examples for the reader to feel comfortable with topics like mean, variance, probability, probability distributions, hypothesis testing, correlation and regression analysis, experimental designs and analysis of factorial experiments which are useful in every scientific investigation that involve data.
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Item type Current library Home library Collection Call number Materials specified Copy number Status Date due Barcode
AM PERPUSTAKAAN DR ABDUL LATIFF PERPUSTAKAAN DR ABDUL LATIFF KOLEKSI AM-P. DR ABDUL LATIFF - HD1425.S797 2014 9 (Browse shelf(Opens below)) 1 Available 00002139334

Probability and probability distributions -- Sampling distributions -- Testing of hypothesis -- Analysis of variance -- Correlation and regression analysis -- Design of experiment -- Factorial experiment.

Statistical Methods for Agricultural and Biological Sciences introduces basic statistical concepts as are required for understanding of applications of statistical techniques. There is simplicity in presentation involving no mathematical derivations. All the topics are introduced as well as explained with live examples for the reader to feel comfortable with topics like mean, variance, probability, probability distributions, hypothesis testing, correlation and regression analysis, experimental designs and analysis of factorial experiments which are useful in every scientific investigation that involve data.

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