Statistical Methods For Food And Agriculture

✍ Scribed by Bender, Filmore Edmund

• Publisher: CRC Press
• Year: 1989
• Tongue: English
• Leaves: 354
• Category: Library

✦ Synopsis

This classic book will meet the needs of food and agricultural industries in both their research and business needs. Learn the fundamentals of applying statistics to the business and research needs in the food and agricultural industries. Statistical Methods for Food and Agriculture is a practical, hands-on resource that explores how statistics, a relatively recent development for science and business, facilitates the decision-making process. The range of techniques and applications explained and demonstrated in each of the four major sections of this volume provides a substantial course of study for those in business, government, and universities dealing with food, agriculture, and economics.
Part I provides an introduction to the uses of statistics today, including basic concepts and definitions.
Part II examines the statistical needs of the food researcher. The emphasis is on design of planned experiments, the analysis of data generated by planned experiments, and decision making in a research environment.
Part III deals with statistical procedures that have a wide range of uses for the researcher and business analyst in both business and research situations.
Part IV focuses on those statistical methods that have primarily a business application. This important volume is sufficiently detailed to enable the reader to learn and develop without outside assistance. References lead to more detailed presentations for those desiring additional specialized information, and helpful exercises at the end of each chapter permit the book's use as a textbook as well.

✦ Table of Contents

Cover......Page 1
Half Title......Page 2
Title Page......Page 4
Copyright Page......Page 5
Preface......Page 6
Table of Contents......Page 8
Part I Introduction......Page 10
1 The Use of Statistics......Page 12
2 Observations......Page 15
3 Probability......Page 28
4 Sampling from a Normal Distribution......Page 46
Part II Statistics in Research......Page 70
5 Comparisons Involving 2 Samples......Page 72
6 Concepts of Experimental Design......Page 88
7 Analysis of Variance I: The 1-Way ANOVA......Page 96
8 Analysis of Variance II: The Multiway ANOVA......Page 117
9 Factorial Experiments......Page 134
10 Analysis of Covariance......Page 156
11 Chi-square......Page 167
Part III Statistics in Business and Research......Page 176
12 Linear Regression......Page 178
13 Multiple Regression......Page 200
14 Correlation Analysis......Page 231
15 Nonparametric Tests......Page 242
Part IV Statistics in Business......Page 256
16 Evolutionary Operations......Page 258
17 Index Numbers......Page 273
18 Time Series......Page 286
19 Control Charts......Page 295
20 Using Computers in Statistical Analysis......Page 317
Appendix......Page 331
Index......Page 348