What is the sample size (N) in the Wilcoxon test conditions of use?

In the context of the Wilcoxon test, the sample size must be adequate to satisfy its conditions of use. The Wilcoxon test is a non-parametric statistical test used to compare two related samples, especially when the data does not meet the assumptions necessary for parametric tests like the t-test.

This test requires the sample size to be sufficiently large to ensure that it has enough power to detect significant differences between the groups. Generally, a minimum of 5 pairs is recommended for proper application; however, many researchers prefer to use larger sample sizes, typically ranging from 10 to 20 or more pairs, depending on the research context.

In this case, a sample size of 14 is appropriate for providing a reliable assessment while adhering to the test's statistical requirements. Normal practices in statistical analysis often favor larger sample sizes due to their ability to produce more reliable and generalizable results, making 14 a representation of a size that strikes a balance between practicality and statistical rigor.