December 2002
Intermediate to advanced
848 pages
20h 22m
English
In designed experiments, the term power of the test refers to the probability that the F test will lead to accepting the alternative hypothesis when in fact the alternative hypothesis holds, i.e., 1-β. To determine power probabilities we use the non-central F distribution. Charts have been prepared to simplify this task (see Appendix Table 14). The tables are indexed by values of Φ. When all sample sizes are of equal size n, Φ is computed using Equation 17.1.
r is the number of factor levels being studied.
The tables in Appendix 14 are used as follows:
Each page refers to a different v1 = r − 1, the number of degrees ...
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