Which of the Following Descriptions Best Explains Non-Parametric Tests

question 11

Multiple Choice

Which of the following descriptions best explains non-parametric tests?

• A) Assumption-free
• B) More likely to protect against Type II error
• C) Robust
• D) Normally distributed

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Definitions:

Negative Linear Relationship

A relationship between two variables where as the value of one variable increases, the value of the second variable decreases, forming a straight line in a graphical representation.

Variables Of Interest

Specific items or characteristics that researchers aim to study, measure or manipulate within a study.

Confidence Interval

A range of values, derived from sample statistics, that is likely to contain the value of an unknown population parameter with a specified level of confidence.

Expected Value

The long-run average value of a random variable over many independent trials.