Count-based comparisons such as “7 out of 10” or “2 to 1” are often used to quantify
superior product performance. Because of experimental variability, statistics are
needed to ensure confidence in such comparisons. Even so, count-based comparisons
commonly appear without any statistical treatment of the data. In this article,
we discuss statistics to support these comparisons. Specifically, we identify two different
types of count-based comparisons: count-based proportional comparisons
and count-based ratio comparisons.We then provide statistics to justify these comparisons
before providing significance tables for practitioners.
This article appears as:
Ennis, J.M. and Ennis, D. M. (2012). Justifying count-based comparisons. Journal of Sensory Studies, 27(2), 130-136.
Colleagues can request this journal article here:
Justifying count-based comparisons
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