Statistical Experiment Design and Interpretation synopsis
Clearly written and free of statistical terminology, this invaluable guide focuses on the practical aspects of statistical analysis of anyone involved in agricultural research. Each section starts with the main points, giving a quick reference to the contents and many examples using Reala data.
The design of a successful experiment begins with a statement of objectives. Authors guide the reader by planning for an experiment, including goal setting, consideration of treatments, interest measurements, and evaluation time and timing.
The advantages and disadvantages of different test designs cover the importance of data exploration and presentation of graphs, as well as data collection, storage, verification and verification. Statistical methods include t-test, contrast analysis, basic regression analysis, and non-parametric techniques.
The underlying assumptions in these techniques are clearly defined (taking into account the principles and objectives) without losing the reader in statistical theory. All techniques are illustrated by practical examples and full interpretation of the results.
The formulas are kept to the minimum in the main text, but are fully rendered in the supplement.
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