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When We Have Two Data Sets That Reveal 95% Confidence

question 21

Multiple Choice

When we have two data sets that reveal 95% confidence intervals that differ from a hypothesized value and don't overlap, what conclusion can we make?


Definitions:

A*B Interaction Effect

The effect on a dependent variable that results from the combination of two independent variables, distinct from the effect of each variable individually.

Degrees of Freedom

Represents the number of independent values or quantities that can vary in an analysis without violating any constraints.

Number of Levels

Refers to the different categories or values that an independent variable can take in an experiment or study.

Main Effect

The impact of a single independent variable on a dependent variable in an experimental design.

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