Pearson correlation

Do two measurements move together?

What your data needs to look like

Two sets of measurements.

What Chavery does with it

It checks the assumptions first — normality where the test assumes it, and equality of variance where that matters — and says whether each one held. When an assumption fails it names the alternative test rather than running this one anyway.

Then it reports the statistic, the p-value, a confidence interval and an effect size, and writes the sentence you would put in your results chapter. The same numbers always give the same answer; nothing is generated by a language model.

Reporting it

A p-value on its own is not a result. Chavery reports the effect size beside it, because a difference can be statistically significant and too small to matter, and an examiner will ask which yours is. More on effect size.

Related tests

• Spearman correlation — Rank correlation, for ordinal or skewed data.