JUSTIFYING COUNT-BASED COMPARISONS: JUSTIFYING COUNT-BASED COMPARISONS

摘要: Count-based comparisons such as “7 out of 10” or “2 to 1” are often used quantify superior product performance. Because experimental variability, statistics needed ensure confidence in comparisons. Even so, count-based commonly appear without any statistical treatment the data. In this article, we discuss support these Specifically, identify two different types comparisons: proportional and ratio We then provide justify before providing significance tables for practitioners. PRACTICAL APPLICATIONS When an advertiser claims that one offers a benefit over another, consumer needs be reasonably sure experiencing purported benefit. Similarly, when test result is compared with benchmark, it worth considering how confident comparison. Without statistics, there no reason expect results particular will experienced future. Until now, comparison have not appeared sensory literature. remedy lack by both discussion practitioners.