Preface | p. x |
A Note to Students | p. xi |
Symbols and Acronyms | p. xii |
Introduction | p. 1 |
The Principles of Good Experiments | p. 1 |
Randomization | p. 2 |
Local Control | p. 3 |
Summary | p. 3 |
Blocking | p. 4 |
Allocating Animals to Blocks and Treatments | p. 7 |
Improvement in Precision Due to Blocking | p. 9 |
Double Blocking | p. 10 |
Confounding | p. 13 |
Block X Treatment Interaction | p. 15 |
Summary | p. 16 |
Exercise 2.1 | p. 16 |
Exercise 2.2 | p. 17 |
Separating Treatment Means | p. 19 |
Statistical Problems with Student's 't'-test | p. 20 |
The Philosophy of Separating Treatment Means | p. 20 |
An Appropriate Use of Multiple Range Testing | p. 23 |
The Meaning of 'Significance' | p. 23 |
Proving Two Things Equal | p. 25 |
The Balance of Probability Argument | p. 26 |
Dose-Response Trials | p. 27 |
Summary | p. 29 |
References | p. 29 |
Exercise 3.1 | p. 29 |
Exercise 3.2 | p. 30 |
How Many Animals? | p. 31 |
Estimating the CV of Future Experimental Material | p. 32 |
Estimating the Difference to be Expected | p. 34 |
Applying the Equation | p. 36 |
Some Examples | p. 36 |
What Are the Chances of Success? | p. 37 |
Tabulation of Number of Replicates | p. 38 |
What to Do if There Are Not Enough Animals | p. 39 |
Summary | p. 40 |
Exercise 4.1 | p. 40 |
Exercise 4.2 | p. 41 |
Exercise 4.3 | p. 41 |
Change-over Designs | p. 42 |
Latin Squares | p. 43 |
Balanced Latin Squares | p. 46 |
Balanced Latin Squares with an Extra Period | p. 48 |
Switchback Designs | p. 49 |
When to Use Change-over Designs | p. 50 |
Summary | p. 51 |
Reference | p. 51 |
Exercise 5.1 | p. 52 |
Pens and Paddocks | p. 53 |
Groups of Animals in Pens | p. 53 |
Keeping Records of Individuals | p. 55 |
Grazing Trials | p. 57 |
Coefficients of Variation for Groups | p. 59 |
Summary | p. 60 |
Exercise 6.1 | p. 60 |
Factorial Designs | p. 62 |
Factorial Analyses with No Interactions | p. 63 |
Factorial Analyses When Interaction Is Present | p. 64 |
Two for the Price of One | p. 64 |
Factorial Designs with Unequal Replication (Split Plots) | p. 66 |
Summary | p. 68 |
Exercise 7.1 | p. 69 |
Assumptions Underlying the Analysis of Variance | p. 70 |
Homogeneity of Variances | p. 70 |
The Logarithmic Transformation | p. 71 |
Testing for Homogeneity of Variance | p. 72 |
Further Examples | p. 73 |
Other Transformations | p. 73 |
Additivity | p. 74 |
Summary | p. 75 |
Reference | p. 76 |
Exercise 8.1 | p. 76 |
Dose-Response Trials | p. 78 |
Shapes of Response Curves | p. 79 |
Asymptotic Responses | p. 81 |
Fitting Straight Lines as a Compromise | p. 83 |
Simple Curves | p. 86 |
Exponential and Inverse Polynomial Models | p. 87 |
The Reading Model | p. 88 |
Choice of Treatments | p. 90 |
Response Surfaces | p. 92 |
Summary | p. 92 |
References | p. 92 |
Exercise 9.1 | p. 93 |
Uses of Covariance Analysis | p. 95 |
Covariance Adjustment Using Preliminary Variables | p. 96 |
Multiple Covariance | p. 100 |
Blocking versus Covariance | p. 101 |
Covariance Adjustment as an Aid to Interpretation | p. 102 |
Summary | p. 105 |
Exercise 10.1 | p. 105 |
Unbalanced Designs | p. 107 |
Missing Plots | p. 108 |
Unbalanced Designs | p. 108 |
Some Examples | p. 109 |
Summary | p. 111 |
Reference | p. 111 |
Exercise 11.1 | p. 111 |
Exercise 11.2 | p. 111 |
Repeated Measures | p. 113 |
Time Trends | p. 115 |
Weighing Ruminant Animals | p. 116 |
Summary | p. 117 |
Reference | p. 117 |
Exercise 12.1 | p. 117 |
Discrete Data | p. 119 |
Snags with the x[superscript 2] Test | p. 120 |
Estimating the Expected Outcome | p. 121 |
Summary | p. 122 |
Reference | p. 122 |
Multiple Experiments | p. 123 |
Planning Multi-location Experiments | p. 123 |
Reviewing Multiple Experiments | p. 127 |
Summary | p. 133 |
References | p. 133 |
Epilogue | p. 134 |
Appendix 1 | p. 135 |
Random Numbers and How to Use Them | p. 135 |
Appendix 2 | p. 137 |
Some Useful General Formulae | p. 137 |
Useful Quick Approximations | p. 137 |
Differences between Differences | p. 138 |
Appendix 3 | p. 139 |
Answers to Exercise 2.1 Using a Pocket Calculator | p. 139 |
Appendix 4 | p. 141 |
Answers to Exercise 2.1 Using SAS | p. 141 |
Appendix 5 | p. 144 |
Answers to Exercise 2.2 Using a Pocket Calculator | p. 144 |
Appendix 6 | p. 147 |
Answers to Exercise 2.2 Using SAS | p. 147 |
Appendix 7 | p. 148 |
Separation of Treatment Means | p. 148 |
Orthogonal Polynomials | p. 149 |
Orthogonal Polynomials for Regression Analysis | p. 152 |
Appendix 8 | p. 154 |
Answers to Exercise 3.1 | p. 154 |
Answers to Exercise 3.2 | p. 155 |
Appendix 9 | p. 158 |
Answer to Exercise 4.1 | p. 158 |
Answer to Part 1 of Exercise 4.2 | p. 158 |
Answer to Part 2 of Exercise 4.2 | p. 159 |
Answer to Exercise 4.3 | p. 160 |
Appendix 10 | p. 161 |
Answers to Exercise 5.1 Using a Pocket Calculator | p. 161 |
Appendix 11 | p. 165 |
Answers to Exercise 5.1 Using SAS | p. 165 |
Appendix 12 | p. 167 |
Example ANOVA of a Balanced Latin Square Design | p. 167 |
Appendix 13 | p. 171 |
Answers to Exercise 6.1 | p. 171 |
Appendix 14 | p. 175 |
Answers to Exercise 7.1 | p. 175 |
Appendix 15 | p. 180 |
Bartlett's Test | p. 180 |
Appendix 16 | p. 183 |
Answers to Exercise 8.1 | p. 183 |
Appendix 17 | p. 185 |
Answers to Exercise 9.1 | p. 185 |
Appendix 18 | p. 188 |
Example of Analysis of Covariance | p. 188 |
Appendix 19 | p. 191 |
Answers to Exercise 10.1 | p. 191 |
Appendix 20 | p. 194 |
Answers to Exercise 11.1 | p. 194 |
Appendix 21 | p. 196 |
Answers to Exercise 11.2 | p. 196 |
Appendix 22 | p. 197 |
Answers to Exercise 12.1 | p. 197 |
Appendix 23 | p. 199 |
Example of Matrix Used to Fit Constants for Trials | p. 199 |
Appendix 24 | p. 201 |
Table of x[superscript 2] | p. 201 |
Appendix 25 | p. 202 |
F-ratio Tables | p. 202 |
Appendix 26 | p. 204 |
Student's t | p. 204 |
Index | p. 205 |
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