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1.6.6: Two-Dimensional Data - Differences

( \newcommand{\kernel}{\mathrm{null}\,}\)

All methods covered in this chapter based on the idea of statistical test and side-by-side comparison. If even there are methods which seemingly accept multiple samples (like ANOVA or analysis of tables), they internally do the same: compare two pooled variations, or expected and observed frequencies.


This page titled 1.6.6: Two-Dimensional Data - Differences is shared under a Public Domain license and was authored, remixed, and/or curated by Alexey Shipunov.

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