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

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

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

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

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

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

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 find outliers
C) To perform cluster analysis
D) To determine correlations

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

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

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

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