Statistical Experiment Design and Interpretation: An Introduction with Agricultural Examples / Edition 1

Hardcover (Print)
Buy New
Buy New from BN.com
$298.29
Used and New from Other Sellers
Used and New from Other Sellers
from $47.78
Usually ships in 1-2 business days
(Save 86%)
Other sellers (Hardcover)
  • All (8) from $47.78   
  • New (5) from $279.66   
  • Used (3) from $47.78   

Overview

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, anlaysis 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.

Read More Show Less

Product Details

  • ISBN-13: 9780471960065
  • Publisher: Wiley
  • Publication date: 9/30/1999
  • Edition number: 1
  • Pages: 288
  • Sales rank: 826,466
  • Product dimensions: 6.87 (w) x 9.80 (h) x 0.83 (d)

Table of Contents

Acknowledgements
INTRODUCTION
Notation
A little history
Population versus samples
PLANNING
Formulating the idea
Defining objectives
Defining the population
Formulating hypotheses
Hypothesis testing
Anticipating treatment differences
DESIGN
Variables
Choosing the treatments
Constraints
Replication
Blocking
Randomization
Covariants
Confounding
TRIAL STRUCTURE
Considerations
Single-treatment factor designs
Multi-treatment factor designs
Some other designs
DATA ENTRY AND EXPLORATION
Data entry
Data
Data checking
Data exploration
ANALYTICAL TECHNIQUES
Parametric techniques
Non-parametric techniques
Comparison of parametric and non-parametric techniques
OTHER STATISTICAL TECHNIQUES
Multivariate analysis
Time series analysis
ASPECTS OF COMPUTING
APPENDICES
Glossary of Statistical Terms
Analysis of Variance Formulae
INDEX

Read More Show Less

Customer Reviews

Be the first to write a review
( 0 )
Rating Distribution

5 Star

(0)

4 Star

(0)

3 Star

(0)

2 Star

(0)

1 Star

(0)

Your Rating:

Your Name: Create a Pen Name or

Barnes & Noble.com Review Rules

Our reader reviews allow you to share your comments on titles you liked, or didn't, with others. By submitting an online review, you are representing to Barnes & Noble.com that all information contained in your review is original and accurate in all respects, and that the submission of such content by you and the posting of such content by Barnes & Noble.com does not and will not violate the rights of any third party. Please follow the rules below to help ensure that your review can be posted.

Reviews by Our Customers Under the Age of 13

We highly value and respect everyone's opinion concerning the titles we offer. However, we cannot allow persons under the age of 13 to have accounts at BN.com or to post customer reviews. Please see our Terms of Use for more details.

What to exclude from your review:

Please do not write about reviews, commentary, or information posted on the product page. If you see any errors in the information on the product page, please send us an email.

Reviews should not contain any of the following:

  • - HTML tags, profanity, obscenities, vulgarities, or comments that defame anyone
  • - Time-sensitive information such as tour dates, signings, lectures, etc.
  • - Single-word reviews. Other people will read your review to discover why you liked or didn't like the title. Be descriptive.
  • - Comments focusing on the author or that may ruin the ending for others
  • - Phone numbers, addresses, URLs
  • - Pricing and availability information or alternative ordering information
  • - Advertisements or commercial solicitation

Reminder:

  • - By submitting a review, you grant to Barnes & Noble.com and its sublicensees the royalty-free, perpetual, irrevocable right and license to use the review in accordance with the Barnes & Noble.com Terms of Use.
  • - Barnes & Noble.com reserves the right not to post any review -- particularly those that do not follow the terms and conditions of these Rules. Barnes & Noble.com also reserves the right to remove any review at any time without notice.
  • - See Terms of Use for other conditions and disclaimers.
Search for Products You'd Like to Recommend

Recommend other products that relate to your review. Just search for them below and share!

Create a Pen Name

Your Pen Name is your unique identity on BN.com. It will appear on the reviews you write and other website activities. Your Pen Name cannot be edited, changed or deleted once submitted.

 
Your Pen Name can be any combination of alphanumeric characters (plus - and _), and must be at least two characters long.

Continue Anonymously

    If you find inappropriate content, please report it to Barnes & Noble
    Why is this product inappropriate?
    Comments (optional)