Texas Instruments TINSPIRE Reference Guide - Page 14

Output variable stat.SSError stat.MSError stat.sp stat.xbarlist stat.CLowerList stat.CUpperList Description Sum of squares of the errors Mean square for the errors Pooled standard deviation Mean of the input of the lists 95% confidence intervals for the mean of each input list 95% confidence intervals for the mean of each input list ANOVA2way 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 97.) LevRow=0 for Block LevRow=2,3,...,Len-1, for Two Factor, where Len=length(List1)=length(List2) = ... = length(List10) and Len / LevRow ∈ {2,3,...} Outputs: Block Design Output variable stat.F stat.PVal stat.df stat.SS stat.MS stat.FBlock stat.PValBlock stat.dfBlock stat.SSBlock stat.MSBlock stat.dfError stat.SSError stat.MSError stat.s Description F statistic of the column factor Smallest level of significance at which the null hypothesis can be rejected Degrees of freedom of the column factor Sum of squares of the column factor Mean squares for column factor F statistic for factor Least probability at which the null hypothesis can be rejected Degrees of freedom for factor Sum of squares for factor Mean squares for factor Degrees of freedom of the errors Sum of squares of the errors Mean squares for the errors Standard deviation of the error COLUMN FACTOR Outputs Output variable stat.Fcol Description F statistic of the column factor 8 TI-Nspire™ Reference Guide Catalog >