What Is the Difference Between a T Test and ANOVA

question 6

Multiple Choice

What is the difference between a t test and ANOVA?

• A) The t test determines whether two conditions are statistically different from each other, whereas ANOVA determines whether three or more conditions are statistically different from each other.
• B) The t test determines whether three or more conditions are statistically different from each other, whereas ANOVA determines whether two conditions are statistically different from each other.
• C) There is no difference.
• D) The t test shows the strength of association between two sets of variables, whereas ANOVA shows the strength of the association between three or more sets of variables.

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Definitions:

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