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Two-Way Analysis
A type of analysis used to understand the effect of two independent variables on a dependent variable, often used in the context of statistical tests such as two-way ANOVA.
Two-Way Classification Design
A research design that involves two factors (independent variables), with each factor usually having multiple levels, for the purpose of analyzing how they interact with each other in influencing a response variable.
Non-Directional Dependent Samples Z-Test
A statistical test used when comparing the means of two related samples to determine if there is a significant difference without predicting the direction of the difference.
Randomized Block Design
An experimental design that divides subjects into blocks based on a characteristic before randomly assigning treatments within these blocks to reduce variation and increase the accuracy of the results.
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