One-Way Analysis of Variance for Independent or Correlated Samples

The logic and computational details of the one-way ANOVA
for independent and correlated samples are described
in Chapters 13, 14, and 15 of Concepts and Applications.
[Traducción en español]
Note that when the number of samples is k=2, the analysis of variance (standard weighted- means analysis) is equivalent to a non-directional t-test with F=t2.
Number of samples in analysis =

 Independent Samples 

  Correlated Samples  


Click this button only if you wish to perform
an unweighted-means analysis. Advice: do
not perform an unweighted-means analysis
unless you have a clear reason for doing so.


Click this button to return to a standard
weighted-means analysis
Data Entry
Sample 1 Sample 2 Sample 3 Sample 4 Sample 5
Data Summary
1 2 3 4 5 Total
ANOVA Summary
Source SS df MS F P
[between groups]
Graph Maker
Ss/Bl = Subjects or Blocks depending on the design.
Applicable only to correlated-samples ANOVA.

Tukey HSD Test
M1 = mean of Sample 1
M2 = mean of Sample 2
and so forth.
HSD = the absolute [unsigned]
difference between any two
sample means required for
significance at the designated
level. HSD[.05] for the .05 level;
HSD[.01] for the .01 level.

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