Statistical Experiment Design and Interpretation
Claire A. Collins
Reading Time
at 250 WPM4h 48m
The average reader, reading at a speed of 250 WPM, would take 4h 48m to read Statistical Experiment Design and Interpretation.
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288
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Statistical Experiment Design and Interpretation
by Claire A. Collins, Frances M. Seeney
Published
August 10, 1999
Publisher
Wiley
Pages
288
ISBN-13
9780471960065
ISBN-10
0471960063
Description
Clearly written and free of statistical jargon, this invaluable guide concentrates on the practicalities of statistical analysis for anyone involved with agricultural research. Each section starts with the key points, giving a quick reference to the contents and plenty of examples using 'real' data. Successful experiment design starts with a statement of aims. The authors guide the reader through planning an experiment, including defining objectives, considering treatments, measurements of interest and the time and timing of assessments. Advantages and disadvantages of different experiment designs and the importance of data exploration and graphical presentation are covered, as are data collection, storage, validation and verification. Statistical techniques include the t-test, analysis of variance, basic regression analysis and non-parametric techniques. Assumptions inherent to these techniques are clearly identified (bearing in mind the principles and aims) without losing the reader in statistical theory. All of the techniques are illustrated with worked examples and give full interpretation of the results. Formulae are kept to a minimum in the main text, but are given in full in the appendix.
Subjects
The nature and properties of soils
The food of the gods and how it came to earth
The People of Sparks (Book of Ember #2)
Permaculture one
Outlines of Dairy Technology
Omnivore's Dilemma. A Natural History of Four Meals
Frequently Asked Questions
How many pages are in Statistical Experiment Design and Interpretation?
This edition of Statistical Experiment Design and Interpretation has approximately 288 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.
How long does it take to read Statistical Experiment Design and Interpretation?
For most readers, Statistical Experiment Design and Interpretation typically takes between 6h 0m and 4h 0m to complete. This is based on the book's length of approximately 72,000 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 4h 48m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 10 days • Estimated word count: 72,000 words
Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.
What is the word count of Statistical Experiment Design and Interpretation?
The estimated word count for Statistical Experiment Design and Interpretation is approximately 72,000 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.
This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.
Who is the author of Statistical Experiment Design and Interpretation?
Statistical Experiment Design and Interpretation was written by Claire A. Collins, Frances M. Seeney.
When was Statistical Experiment Design and Interpretation published?
The publication date for this specific edition is August 10, 1999. The original work may have been published on a different date.