dichotomous readings of hypothesis testing

Terms from Statistics for HCI: Making Sense of Quantitative Data

The simplistic binary distinction of significant vs non-significant, which stems from the days when computation was performed by hand. No longer necessary with automated computation since specific p-values are readily available.

Used on page 101