What Is the Primary Difference Between Parametric and Nonparametric Tests

question 34

Multiple Choice

What is the primary difference between parametric and nonparametric tests of significance?

• A) Nonparametric tests are involved with populations that have no parameters.
• B) Nonparametric tests involve only interval data, whereas parametric tests involve only ordinal data.
• C) Nonparametric tests do not have hypotheses based on population parameters or assumptions based on the distributions of populations from which the samples are drawn.
• D) Nonparametric tests do not make any distributional assumptions throughout the entire process.

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Definitions:

Principles And Techniques

Foundational guidelines and methods applied in a specific field or discipline to achieve desired outcomes.

Treatment Package Strategy

An intervention strategy that combines multiple components or techniques to address a problem or achieve an outcome.

Control Condition

An experimental setup where the independent variable is not manipulated, serving as a baseline to compare against the experimental condition.

Parametric Strategy

A statistical approach relying on assumptions about the distribution of underlying data, used in the analysis of variables that are typically quantitative.