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