# Use this type of statistics to analyze data when you have more than one dependent variable. Use one of the following key terms to answer each of the following questions. KEY TERM BANK (separated by commas): Univariate, Multivariate, meta-analysis, F-ratio, interaction, main effect

Use this type of statistics to analyze data when you have more than one dependent variable.
Use one of the following key terms to answer each of the following questions.

KEY TERM BANK (separated by commas):
Univariate, Multivariate, meta-analysis, F-ratio, interaction, main effect
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Unvariate Analysis : When the analysis of data has only one variable in such cases we use Univariate analysis.

Multivariate Analysis: It is used to anaylse the impact on more than one dependent variable in the data analysis.

Meta Analysis: It is sued to combine the data analysis from multiple studies to find the common effect.

F-ratio : It is used to identify how population parameter varies across different treatments.

Interaction : Interaction effect occur between two or more categorical independent variables when one variable depends on other variables.

Main effect: It is an effect of an independent variable on a dependent variable averaged across the levels of any other independent variables.

Given that we have more than one dependent varaible to analyse the data.

So, here we use Multivariate analysis is used to analyse the data in given situation.