BiVariate Analysis Flashcards
Which resources can be used to explore a pair of two nominal/categorical variables?
Paneled Bar Graph Chi-Square Test Cross-Tabs Paneled Pie Graph Clustered Bar Graph
Which resources can be used to explore the connection between a Scale (Metric) variable and a Categorical/Nominal one?
Dependent Samples Means t-Test Mean Graph ANOVA Paneled Histogram Post - Hoc ANOVA Tests Box-Plot Graph Independent Samples Means t-Test (Descriptives) Explore Procedure
Which resources can be used to explore a pair of two Scale variables?:
Scatter Diagram
Linear Correlation Coefficient
ANOVA procedure. It is usefull to explore the relationship between a scale variable and a categorical variable
TRUE
ANOVA test is sometimes followed by a Post - Hoc Test (Bonferroni, LSD….)
TRUE
The Null Hypothesis is that the mean of the scale variable is the same in each category (of the categorical variable)
TRUE
ANOVA is the usual inferential test that follows an explore procedure
TRUE
ANOVA is COMMONLY used ONLY when the scale variable is the dependent variable and the categorical one is suppose to be the independent/factor
TRUE
ANOVA is the typical test we sometime use jointly with a Box-Plot Graph
TRUE
A correlation coefficient with a value of 0.8 and a test p-value of 0.15 means:
A strong but statistically NON-significant positive correlation
What type of GRAPH should I use to explore insurance price (in €) by time as customer (in years)?
Scatter
Which is the MOST IMPORTANT LIMITATION of bivariate analysis when we are interested in the exploration of variables relationships:
We could be missing some covariates (third variables) of interest to understand relationships
In the context of bivariate analysis, a Chi – Square test is:
An statistical way of checking bivariate relationship for two categorical variables when using sample data
A statistical option of SPSS Frequencies procedure
An option for a Clustered Bar Graph
Which of the following features of an scale variable can be initially explored/represented using a Box – Plot graph?
Median
Presence of outliers
Dispersion
We take a sample of 1000 people and we statistically compare the average salary (in weekly $) by being self employed (Yes/No). What statistical test should I use?
T- tests for independent samples