Application Guide

Output variable Description
stat.dfError Degrees of freedom of the errors
stat.SSError Sum of squares of the errors
stat.MSError Mean square for the errors
stat.sp Pooled standard deviation
stat.xbarlist Mean of the input of the lists
stat.CLowerList 95%confidence intervals for the mean of each input list
stat.CUpperList 95% confidence intervals for the mean of each input list
ANOVA2way
Catalog >
ANOVA2way List1,List2[,List3,…,List10]
[,levRow]
Computes a two-way analysis of variance for
comparing the means of two to 10
populations. A summary of results is stored
in the stat.results variable. (See page 177.)
LevRow=0 for Block
LevRow=2,3,...,Len-1, for Two Factor,
where Len=length(List1)=length(List2) = …
= length(List10) and Len/LevRow Î
{2,3,…}
Outputs: Block Design
Output variable Description
stat.F F statistic of the column factor
stat.PVal Smallest level of significance at which the null hypothesis can be rejected
stat.df Degrees of freedom of the columnfactor
stat.SS Sum of squares of the column factor
stat.MS Mean squares for columnfactor
stat.FBlock F statistic for factor
stat.PValBlock Least probability at whichthe nullhypothesis can be rejected
stat.dfBlock Degrees of freedom for factor
stat.SSBlock Sum of squares for factor
Alphabetical Listing 11