Analysis of Variance

ANOVA & MANOVA

Compare groups, model factorial and blocked designs, assess assumptions, explore post-hoc differences, and extend the analysis to multiple responses using pasted raw data or mathematically sufficient summary statistics.

Two-Way ANOVA

Evaluate two categorical factors and their interaction using Type III sums of squares and model-based follow-up comparisons.

Raw + summary

Input mode

Raw data Summary statistics

Raw-data layout

In wide format, the first column contains Factor A and the remaining columns are Factor B levels. Repeat Factor A rows for replicates.

Follow-up comparisons

Data

Paste directly from a spreadsheet. The table preview appears immediately and remains horizontally scrollable for wide datasets.

Use first row as variable names

When selected, variable and group names are preserved in result tables and chart labels.

Accepted paste format

Factor A Factor B Response — one observation per row.

Factor A B level 1 B level 2 ... — first column is Factor A; remaining columns are Factor B levels. Repeat Factor A rows for replicates.

Factor A Factor B n Mean SD (or sample variance).

Fourth / fifth summary column contains

Variable labels when no header is supplied

Factor A name

Factor B name

Response variable

Confidence level (%)

95% confidence corresponds to α = 0.05.

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Ready for analysis

Paste your data, choose the appropriate design and options, then calculate. Results, diagnostics, tables and interactive plots will appear here.