When Comparing the Means of Two or More Categories of a Nominal

question 3

True/False

When comparing the means of two or more categories of a nominal variable, we can use the eta statistic to depict the strength of the relationship.

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Definitions:

Correlated

Describes the relationship between two variables where changes in one variable are associated with changes in another.

Null Hypothesis

A hypothesis that suggests there is no statistical significance in a set of given observations, implying no effect or relationship.

Linear Relationship

A relationship between two variables where the change in one variable is directly proportional to the change in another variable.

Pearson Correlation

A statistical measure that calculates the strength and direction of a linear relationship between two quantitative variables.