Practical Statistics and Experimental Design for Plant and Crop Science

Author： Alan G. Clewer

Publisher： John Wiley & Sons Inc‎

Publication year： 2013

E-ISBN: 9781118685679

P-ISBN(Paperback): 9780471899099

P-ISBN(Hardback): 9780471899082

Subject： Q94-32 plant statistics

Language： ENG

Access to resources Favorite

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Description

Presents readers with a user-friendly, non-technical introduction to statistics and the principles of plant and crop experimentation. Avoiding mathematical jargon, it explains how to plan and design an experiment, analyse results, interpret computer output and present findings. Using specific crop and plant case studies, this guide presents:
* The reasoning behind each statistical method is explained before giving relevant, practical examples
* Step-by-step calculations with examples linked to three computer packages (MINITAB, GENSTAT and SAS)
* Exercises at the end of many chapters
* Advice on presenting results and report writing
Written by experienced lecturers, this text will be invaluable to undergraduate and postgraduate students studying plant sciences, including plant and crop physiology, biotechnology, plant pathology and agronomy, plus ecology and environmental science students and those wanting a refresher or reference book in statistics.

Chapter

pp.： 1 – 5

pp.： 1 – 1

pp.： 5 – 7

pp.： 7 – 13

Chapter 1 Basic Principles of Experimentation

pp.： 13 – 17

Chapter 2 Basic Statistical Calculations

pp.： 17 – 25

Chapter 3 Basic Data Summary

pp.： 25 – 32

Chapter 4 The Normal Distribution, the t-Distribution and Confidence Intervals

pp.： 32 – 40

Chapter 5 Introduction to Hypothesis Testing

pp.： 40 – 54

Chapter 6 Comparison of Two Independent Sample Means

pp.： 54 – 65

Chapter 7 Linear Regression and Correlation

pp.： 65 – 79

Chapter 8 Curve Fitting

pp.： 79 – 103

Chapter 9 The Completely Randomised Design

pp.： 103 – 118

Chapter 10 The Randomised Block Design

pp.： 118 – 148

Chapter 11 The Latin Square Design

pp.： 148 – 165

Chapter 12 Factorial Experiments

pp.： 165 – 175

Chapter 13 Comparison of Treatment Means

pp.： 175 – 198

Chapter 14 Checking the Assumptions and Transformation of Data

pp.： 198 – 229

Chapter 15 Missing Values and Incomplete Blocks

pp.： 229 – 242

Chapter 16 Split Plot Designs

pp.： 242 – 254

Chapter 17 Comparison of Regression Lines and Analysis of Covariance

pp.： 254 – 272

Chapter 18 Analysis of Counts

pp.： 272 – 288

Chapter 19 Some Non-parametric Methods

pp.： 288 – 309

Appendix 1: The normal distribution function

pp.： 309 – 323

Appendix 2: Percentage points of the normal distribution

pp.： 323 – 324

Appendix 3: Percentage points of the t-distribution

pp.： 324 – 325

Appendix 4a: 5 per cent points of the F-distribution

pp.： 325 – 326

Appendix 4b: 2.5 per cent points of the F-distribution

pp.： 326 – 328

Appendix 4c: 1 per cent points of the F-distribution

pp.： 328 – 330

Appendix 4d: 0.1 per cent points of the F-distribution

pp.： 330 – 332

Appendix 5: Percentage points of the sample correlation coefficient (r) when the population correlation coefficient is 0 and n is the number of X, Y pairs

pp.： 332 – 334

Appendix 6: 5 per cent points of the Studentised range, for use in Tukey and SNK tests

pp.： 334 – 335

Appendix 7: Percentage points of the chi-square distribution

pp.： 335 – 337

Appendix 8: Probabilities of S or fewer successes in the binomial distribution with n 'trials' and p = 0.5

pp.： 337 – 338

Appendix 9: Critical values of Tin the Wilcoxon signed rank or matched pairs test

pp.： 338 – 339

Appendix 10: Critical values of U in the Mann-Whitney test

pp.： 339 – 340

References

pp.： 340 – 343

The users who browse this book also browse