The one-way, or one-factor, ANOVA test for independent measures is designed to compare the means of three or more independent samples (treatments) simultaneously.
To use this calculator, simply enter the values for up to five treatment conditions (or populations) into the text boxes below, either one score per line or as a comma delimited list. Select your significance level, give your data a final check, and then press the "Calculate" button.
Note: You'll find a repeated-measures one-factor ANOVA calculator here, if that's what you require.
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Post Hoc Tukey HSD (beta)
The Tukey's HSD (honestly significant difference) procedure facilitates pairwise comparisons within your ANOVA data. The F statistic (above) tells you whether there is an overall difference between your sample means. Tukey's HSD test allows you to determine between which of the various pairs of means - if any of them - there is a signficant difference.
A couple of things to note. First, a blue value for Q (below) indicates a significant result. Second, it's worth bearing in mind that there is some disagreement about whether Tukey's HSD is appropriate if the F-ratio score has not reached significance.
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| T1:T2 |
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| T1:T3 |
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