Principles and Procedures of Statistics: A Biometrical Approach
McGraw-Hill, 1997 - Mathematics - 666 pages
This 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.
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Sampling from a Normal Distribution
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additive adjusted alternative analysis of variance apply appropriate approximation associated average binomial block calculated called coefficient column comparisons complete components compute confidence interval contrast correction correlation covariance degrees of freedom dependent determine difference discussed distribution effects equal equation error estimate example Exercise expected experiment experimental factor fixed function given gives illustrate increase independent individual interaction involve likelihood linear matrix mean square measured method multiple normal Note null hypothesis observations obtained Output P-value pairs parameters percent plants plot population possible present probability problem PROC procedure produce random ratio referred regression Repeat replication response sample sample means shown shows significant simple single Source standard deviation statistics sum of squares Table term treated treatment treatment means true Type units variable variation weight