Experimental statistics for agriculture and horticulture
Author(s)
Bibliographic Information
Experimental statistics for agriculture and horticulture
(Modular texts)
CABI, c2010
- Other Title
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Experimental statistics for agriculture & horticulture
Available at 2 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
Includes bibliographical references and index
Description and Table of Contents
Description
Providing practical training supported by a sound theoretical basis, this textbook introduces students to the principles of investigation by experiment and the role of statistics in analysis. It draws on the author's extensive teaching experience and is illustrated with fully worked contextualized examples throughout, helping the reader to correctly design their own experiments and identify the most appropriate technique for analysis. Subjects covered include sampling and determining sample reliability, hypothesis testing, relationships between variables, the role and use of computer packages such as Genstat, and more complex experimental designs such as randomized blocks and split plots.
Table of Contents
1: Introduction to Experimental Design and Data Analysis 2: Descriptive Statistics 3: Data Distributions 4: Populations, Samples and Sample Reliability 5: Inferential Statistics and Hypothesis Testing 6: Design and Analysis of Two Sample Experiments 7: Non-parametric Analysis of the Difference Between Two Samples 8: Design and Analysis of Multi-sample Experiments 9: Analysis of Multi-factorial Experiments 10: Design and Analysis of More Complex Factorial Experiments 11: Correlation Analysis 12: Fitting Trend Lines 13: Analysis of Frequency Data 14: Performing Statistical Analyses Using Computer Packages
by "Nielsen BookData"