All "Factorial ANOVAs" share the characteristic of...?

A. Having one dependent variable
B. Relying on post hoc procedures to reject the Null Hypothesis
C. Having two or more independent variables
D. Applying corrections for multiple comparisons

The correct answer is C. Having two or more independent variables. To arrive at this answer, we need to understand the concept of Factorial ANOVA and its characteristics.

Factorial ANOVA is a statistical technique used to analyze the differences between multiple groups while considering the influence of two or more independent variables. This analysis helps to determine whether the variation in the dependent variable is due to the independent variables separately or when they interact with each other.

To answer the question, we need to identify the common characteristic shared by all Factorial ANOVAs. The characteristic mentioned in option C, having two or more independent variables, is the defining feature of a Factorial ANOVA.

Option A, having one dependent variable, is not correct because ANOVAs can have more than one dependent variable. Option B, relying on post hoc procedures to reject the Null Hypothesis, is not true for all Factorial ANOVAs as post hoc procedures may or may not be necessary based on the research question. Option D, applying corrections for multiple comparisons, is not a specific characteristic of Factorial ANOVAs but rather a consideration when performing multiple statistical tests.

Therefore, the correct answer is C. Having two or more independent variables.