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Exercise 12. Algorithm for Determining the Appropriateness of Inferential Statistical Techniques $6.49
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  3. American Military University
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  5. MATH 302

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Exercise 12. Algorithm for Determining the Appropriateness of Inferential Statistical Techniques
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Exercise 12. Algorithm for Determining the Appropriateness of Inferential Statistical Techniques

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  • September 9, 2024
  • 15
  • 2024/2025
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Exercise 12


1. Discuss the differences between parametric and nonparametric statistical



techniques. Provide an example of a parametric statistical technique and a



nonparametric statistical technique applying the algorithm in Figure 12-1.



Parametric techniques use interval or ratio levels of measurement and the values



of the subjects for the variable studied are normally distributed.



Nonparametric techniques use nominal or ordinal levels of measurement, and if



the data scores for the study variable are not normally distributed or they are



skewed.

Example of a parametric test at the interval/ratio level for more than two groups

from independent group is the one- way analysis of variance test,

which



assume data is from a



Example of a non-parametric test at the nominal level for one group is the

, 2. What statistical technique was probably conducted for a study focused on



examining associations or relationships that had variables measured at the ordinal



level and included one group? Provide a rationale for your answer.



Spearman rank-order correlation coefficient, Kendall’s tau, Somer’s D



The Spearman rank-order correlation coefficient (Spearman’s correlation, for short) is a

nonparametric measure of the strength and direction of association that exists between two

variables measured on at least an ordinal scale.

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