# Introduction to Agricultural Statistics / Edition 1

ISBN-10: 0766811557

ISBN-13: 9780766811553

Pub. Date: 01/28/2000

Publisher: Cengage Learning

This well-organized, introductory level text expertly lays the foundation for the comprehension of agricultural statistics. The easy-to-follow presentation of theory in each chapter is followed by a wide range of examples and exercises that will help readers apply the theory to their field of study. Appendices to relevant chapters instruct readers on how to use the

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## Overview

This well-organized, introductory level text expertly lays the foundation for the comprehension of agricultural statistics. The easy-to-follow presentation of theory in each chapter is followed by a wide range of examples and exercises that will help readers apply the theory to their field of study. Appendices to relevant chapters instruct readers on how to use the personal computer program, Excel, to take the drudgery out of performing basic statistical problems. Emphasis is placed on interpretation of the results once the calculations have been completed. Easy to read, this comprehensive text includes robust coverage of analysis of variance and regression analysis which those in the agricultural field will need to apply. It also includes a glossary that contains all the specialized terms that must be learned along with the concepts and methods. ALSO AVAILABLE: Instructor's Guide ISBN: 0-7668-1156-5. Call Customer Support to Order.

## Product Details

ISBN-13:
9780766811553
Publisher:
Cengage Learning
Publication date:
01/28/2000
Series:
Agriculture Series
Edition description:
New Edition
Pages:
288
Product dimensions:
7.96(w) x 8.66(h) x 0.43(d)

## Table of Contents

PREFACE: INTRODUCTION: Misuses of Statistics. Appendix: Variables and Summations. Exercises. SUMMARIZING DATA: Averages. Characteristics of the Mean, Median and Mode. Measures of Dispersion. Two Properties of S and x. Coefficient of Variation. Exercises. PROBABILITY: Methods of Counting. Probability. Sets. Random Variables. Rules of Probability. Mathematical Expectation. Exercises. PROBABILITY DISTRIBUTIONS: Probability Density Functions. Dinomial Probability Distribution. The Mean and Variance of a Bernoulli Process. Poisson Probability Distribution. The Normal Probability Distribution. Normal Approximation to Binomial Probabilities. Exercises. SAMPLING AND SAMPLING DISTRIBUTIONS: Probability Based Samples. Non-Probability Samples. Sampling Distributions. Exercises. INTRODUCTION TO STATISTICAL INFERENCE: ONE SAMPLES. Properties of Estimators. Interval Estimation. Exercises. STATISTICAL ESTIMATIONS: TWO SAMPLES: Confidence Intervals for u1-u2) with o1, o2 Known. Confidence Intervals for ( u1-u2) with o1,o2 Unknown. Confidence Intervals for p1-p2. Exercises. HYPOTHESIS TESTING: Tests of Hypotheses. Determining Sample Size in Surveys. Appendex Testing Hypotheses with Excel. Exercises. ANALYSIS OF VARIANCE: One Way Analysis of Variance. Two Way Analysis of Variance. Appendix Analysis of Variance with Excel. Exercises. CHI-SQUARE APPLICATIONS: K Sample Tests for Proportions. Tests of Independence in Contingency Tables Goodness of Fit Tests. Exercises. CORRELATIONS, REGRESSION AND TIME SERIES: Correlation Analysis. Simple Linear Regression. Multiple Regression. Multiple Regression Models. Time Series. Appendix Correlation and Regression with Excel. Exercises. NONPARAMETRIC STATISTICS: The Mann-Whitney Test. The Sign Test. The Runs Test. Spearman's Rank Correlation. Exercises. INDEX NUMBERS: Problems in Index Construction. Index Construction. Exercises. APPENDIX. GLOSSARY. INDEX.

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