When discordant pairs exceed concordant pairs in a P-Q relationship, Kendall's tau reports a(n) association between the variables under study. a. positive. b. weak.
c. negative.
d. strong.
e. inverse.

a. positive.

Step-by-step explanation:

Matching and discordant pairs are used to describe the relationship between pairs of observations. To calculate matched and discordant pairs, data is treated as ordinal values. Therefore these are suitable for your application. The number of concordant and discordant pairs is used in Kendall's tau calculations, whose purpose is to determine the relationship among two ordinal variables.

If the direction of the classifications is the same, the pairs are concordant.

A pair of observations is discordant, suppose the subject being with an increased value on one variable is lower on the other.

SO; When discordant pairs exceed concordant pairs in a P-Q relationship, Kendall's tau reports a(n) positive association between the variables under study.