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Chapter 13: Q4CQQ (page 597)

Foot Length , Height Listed below are foot lengths (cm) and heights (cm) of males from Data Set 2 “Foot and Height” in Appendix B. Which method of nonparametric statistics should be used? What characteristic of the data is investigated with this test?

Foot Length 27.8 25.7 26.7 25.9 26.4 29.2 26.8 28.1 25.4 27.9

Height 180.3 175.3 184.8 177.8 182.3 185.4 180.3 175.3 177.8 185.4

Short Answer

Expert verified

The rank correlation test is the nonparametric test that should be employed for the given test.

The association/relationship between the variables “foot length” and “height” is studied using the rank correlation test.

Step by step solution

01

Given information

Data are given on two variables, “Foot Length(cm)” and “Height(cm)” of males.

02

Appropriate nonparametric test

Since the given two variables of foot length and height of males may appear to be related, the rank correlation test will be the most appropriate nonparametric test to employ.

The rank correlation test involves testing the relationship between two given variables. This test is used when the given variables areof ordinal nature.

Thus, the association between the variables is the key characteristic that is investigated using the rank correlation test.

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