ABSTRACT

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.

part I|60 pages

Introduction

chapter 1|3 pages

The Use of Statistics

chapter 2|13 pages

Observations

chapter 3|18 pages

Probability

chapter 4|24 pages

Sampling from a Normal Distribution

part II|105 pages

Statistics in Research

chapter 5|16 pages

Comparisons Involving 2 Samples

chapter 6|8 pages

Concepts of Experimental Design

chapter 7|21 pages

Analysis of Variance I: The 1-Way ANOVA

chapter 9|22 pages

Factorial Experiments

chapter 10|11 pages

Analysis of Covariance

chapter 11|8 pages

Chi-square

part III|79 pages

Statistics in Business and Research

chapter 12|22 pages

Linear Regression

chapter 13|31 pages

Multiple Regression

chapter 14|11 pages

Correlation Analysis

chapter 15|13 pages

Nonparametric Tests

part IV|75 pages

Statistics in Business

chapter 16|15 pages

Evolutionary Operations

chapter 17|13 pages

Index Numbers

chapter 18|9 pages

Time Series

chapter 19|22 pages

Control Charts

chapter 20|14 pages

Using Computers in Statistical Analysis