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