A) Analysis of two variables
B) Analysis of continuous variables only
C) Analysis of a single variable
D) Analysis of multiple variables simultaneously

A) ANOVA
B) Chi-square test
C) Principal component analysis
D) T-test

A) Cluster analysis
B) Regression analysis
C) ANOVA
D) Correlation analysis

A) To determine outliers
B) To determine which variables discriminate between two or more group
C) To determine correlation coefficients
D) To determine descriptive statistics

A) To show correlation coefficients
B) To identify outliers
C) To plot data points
D) To determine the number of factors to retain in factor analysis

A) Testing for differences between groups
B) Plotting bivariate data
C) Conducting factor analysis
D) Grouping similar observations into clusters

A) Test for correlations
B) Conduct factor analysis
C) Determine which variables best predict group membership
D) Identify outliers in the data

A) To understand the relationships and variances between multiple variables
B) To perform factor analysis
C) To determine sample size
D) To test for outliers

A) To predict group membership based on predictor variables
B) To determine correlations
C) To perform cluster analysis
D) To find outliers

A) To determine the relationship between two sets of variables
B) To determine outliers
C) To determine factor loadings
D) To perform hypothesis testing

A) To examine the relationships between two sets of variables
B) To test hypotheses
C) To find correlation between a variable and itself
D) To perform regression analysis

A) When variables are independent
B) When variables are highly correlated
C) When outliers are present
D) When dealing with categorical data only

A) The standard deviation of variables
B) The correlation between variables
C) The significance of variables
D) The number of factors to retain

A) MANOVA considers multiple dependent variables simultaneously, while ANOVA focuses on a single dependent variable
B) ANOVA is appropriate for small sample sizes, while MANOVA is for large sample sizes
C) MANOVA is used for categorical data analysis, while ANOVA is used for continuous data analysis
D) ANOVA uses mixed-effect models, while MANOVA uses fixed-effect models