(8-1) Introduction 107 (8-2) Application of chi Square 107 – (8-3) Test of Hypothesis for Population Variance 108 (8-4) Test of Expected Percent 110 (8-4-1) Application of chi Square for One Degree of Freedom 110 – (8-4-2) Application of chi Square for More Than One Degree of – 111 Freedom (8-5) Test of Goodness of Fit 113 (8-6) Test of Independence (or Test of Association) 116 (8-7) Exercises for Chapter 8 118 Chapter 9: F Distribution 120 – (9-1) Introduction 120 (9-2) Nature of F Distribution 120 – (9-3) Test For the Equality of Two Variances 123 (9-4) Limit intervals for Percent Treatment Among Two Variances σ12/ 125 σ22 (9-5)Test of Hypothesis About the Differences Among Three or More 127 Population Means (9-6) Exercises for Chapter 9 137 Chapter 10: Regression and Correlation 140 (10-1) Introduction 140 (10-2) Simple Linear Regression 140 (10-2-1) Description of Data 141 (10-2-2) Graphical Representation 141 (10-2-3) Linear 142 (10-2-4) Assumptions of Analysis 143 Subject Page (10-2-5) Estimation of Regression Parameters 144 (10-2-6) Drawing Regression Line 146 (10-2-7)Determination of Confidence Interval for Regression 147 Coefficient (CI) (10-2-8) Testing Significant of Regression 148 (10-2-9) Determination Coefficient 150 (10-3) Test of Linear Model Fitness 151 (10-3-1) Errors Analysis Method (or Residual Analysis) 151 (10-3-3) Lack of Fit Method (L. O. F.) 154 (10-4) Simple Non Linear Regression 158 (10-4-1) Description of Data 158 (10-4-2) Estimation of Regression Parameters 159 (10-5) Simple Correlation 163 (10-5-2) Testing Significant of Correlation Coefficient 166 (10-5-3) Relationship Between Regression and Correlation 167 Coefficients (10-6) Exercises for Chapter 10 169 Chapter 11: Principles of Agricultural Experiments 172
(8-1) Introduction 107 (8-2) Application of chi – Square 107 (8-3) Test of Hypothesis for Population Variance 108 (8-4) Test of Expected Percent 110 (8-4-1) Application of chi – Square for One Degree of Freedom 110 (8-4-2) Application of chi – Square for More Than One Degree of Freedom 111 (8-5) Test of Goodness of Fit 113 (8-6) Test of Independence (or Test of Association) 116 (8-7) Exercises for Chapter 8 118 Chapter 9: F – Distribution 120 (9-1) Introduction 120 (9-2) Nature of F – Distribution 120 (9-3) Test For the Equality of Two Variances 123 (9-4) Limit intervals for Percent Treatment Among Two Variances σ12/ σ22 125 (9-5)Test of Hypothesis About the Differences Among Three or More Population Means 127 (9-6) Exercises for Chapter 9 137 Chapter 10: Regression and Correlation 140 (10-1) Introduction 140 (10-2) Simple Linear Regression 140 (10-2-1) Description of Data 141 (10-2-2) Graphical Representation 141 (10-2-3) Linear 142 (10-2-4) Assumptions of Analysis 143 Subject Page (10-2-5) Estimation of Regression Parameters 144 (10-2-6) Drawing Regression Line 146 (10-2-7)Determination of Confidence Interval for Regression Coefficient (CI) 147 (10-2-8) Testing Significant of Regression 148 (10-2-9) Determination Coefficient 150 (10-3) Test of Linear Model Fitness 151 (10-3-1) Errors Analysis Method (or Residual Analysis) 151 (10-3-3) Lack of Fit Method (L. O. F.) 154 (10-4) Simple Non Linear Regression 158 (10-4-1) Description of Data 158 (10-4-2) Estimation of Regression Parameters 159 (10-5) Simple Correlation 163 (10-5-2) Testing Significant of Correlation Coefficient 166 (10-5-3) Relationship Between Regression and Correlation Coefficients 167 (10-6) Exercises for Chapter 10 169 Chapter 11: Principles of Agricultural Experiments 172
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