A) Analysis of multiple variables simultaneously B) Analysis of continuous variables only C) Analysis of two variables D) Analysis of a single variable
A) Chi-square test B) T-test C) ANOVA D) Principal component analysis
A) ANOVA B) Correlation analysis C) Cluster analysis D) Regression analysis
A) To determine outliers B) To determine correlation coefficients C) To determine descriptive statistics D) To determine which variables discriminate between two or more group
A) To show correlation coefficients B) To determine the number of factors to retain in factor analysis C) To identify outliers D) To plot data points
A) To find correlation between a variable and itself B) To examine the relationships between two sets of variables C) To test hypotheses D) To perform regression analysis
A) The significance of variables B) The standard deviation of variables C) The number of factors to retain D) The correlation between variables
A) Testing for differences between groups B) Conducting factor analysis C) Plotting bivariate data D) Grouping similar observations into clusters
A) To perform factor analysis B) To determine sample size C) To understand the relationships and variances between multiple variables D) To test for outliers
A) To perform cluster analysis B) To determine correlations C) To find outliers D) To predict group membership based on predictor variables
A) When variables are highly correlated B) When dealing with categorical data only C) When variables are independent D) When outliers are present
A) ANOVA is appropriate for small sample sizes, while MANOVA is for large sample sizes B) MANOVA considers multiple dependent variables simultaneously, while ANOVA focuses on a single dependent variable C) ANOVA uses mixed-effect models, while MANOVA uses fixed-effect models D) MANOVA is used for categorical data analysis, while ANOVA is used for continuous data analysis
A) To determine factor loadings B) To determine outliers C) To perform hypothesis testing D) To determine the relationship between two sets of variables
A) Test for correlations B) Determine which variables best predict group membership C) Identify outliers in the data D) Conduct factor analysis |