Which of the following is true about the n-way analysis of variance (ANOVA)?

It is a type of ANOVA that can analyze several independent variables at the same time.
The bigger the F ratio, the lesser the difference among the means of the various groups assessed by n-way ANOVA.
It cannot analyze more than one independent variable at a particular time.
The use of multiple independent factors in n-way ANOVA reduces the possibility of an interaction effect.
It is mathematically less complex than one-way ANOVA.

Statement that can be considered as a true statement about the n-way analysis of variance (ANOVA) is A:It is a type of ANOVA that can analyze several independent variables at the same time.

Therefore, option A is correct.

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It is a type of ANOVA that can analyze several independent variables at the same time.

Explanation:

This is the statement that correctly describes the n-way analysis of variance (ANOVA). ANOVA is a type of analysis of variance that can analyze several independent variables at the same time. In this type of analysis, a dependent variable is measured by different levels of independent variables. When the results are obtained, these are assumed to be the consequence of the different levels of the independent variables, plus random error. The computation necessary for this analysis can be done in most types of statistical software.

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