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 172.)
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 column factor
stat.SS
Sum of squares of the column factor
stat.MS
Mean squares for column factor
stat.
F
Block
F
statistic for factor
stat.PValBlock
Least probability at which the null hypothesis can be rejected
stat.dfBlock
Degrees of freedom for factor
stat.SSBlock
Sum of squares for factor
Alphabetical Listing
15
Summary of Contents for TI-Nspire CAS
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