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