## Principles and Procedures of Statistics: A Biometrical ApproachThis textbook provides a thorough treatment of major statistical methods and techniques for both staticticians and non-statisticians requiring a foundation in applied statistics. There is an emphasis throughout on inference from data, the principle of fitting models by least squares, and careful interpretation of results. The authors employ SAS to produce PC-based statistical graphics and perform some analyses where appropriate. This edition includes updated real-world data sets. |

### Contents

1 | 5 |

11 | 56 |

A Proposed Laboratory Exercise in Connection with Chapter 3 | 66 |

Copyright | |

27 other sections not shown

### Common terms and phrases

additional adjusted alternative analysis of variance apply appropriate associated average block calculated called coefficient column common comparisons complete computed confidence interval contrast correction correlation degrees of freedom dependent determine differences discussed distribution effects equal equation error estimate example Exercise expected experiment experimental experimental units factor FIGURE function given gives illustration increase independent individual interaction involve linear matrix mean square measure method multiple normal Note null hypothesis observations obtained Output pairs parameter percent plants plot population population mean possible pots present probability problem PROC procedure produce random ratio referred regression reject Repeat replication response sample sample means shown shows significant single Source standard deviation statistics sum of squares Table term transformation treated treatment means true Type variable variation weight