The T Test for Two Related Measures

question 46

Multiple Choice

The t test for two related measures

• A) is complicated by the fact that we have two different sets of numbers.
• B) is simplified by the fact that we really only focus on the column of difference scores.
• C) is not a valid test if the pre- and post-measures are correlated.
• D) is impractical because you do not know the population variance.

Learn about Prohibition, its supporters, and its societal impacts.

Understand the methodology to construct confidence intervals for population variances.

Calculate and interpret the test statistic for hypotheses concerning population variances.

Distinguish between sample variance and population variance symbols and their applications.

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Definitions:

Variation

The extent to which data points in a statistical distribution or dataset differ from each other and from their average value.

Coefficient Of Determination

A statistic that measures the proportion of the variance in the dependent variable that is predictable from the independent variable(s).

Variation

The differences or deviations among individuals or items within a population, causing diversity in characteristics or outcomes.

Explanatory Variables

Independent variables in a model that are presumed to affect or determine a dependent variable.