Exploring Two–Variable Data
Which measure helps determine if there is an association between two categorical variables in a contingency table?
What does it mean if two categorical variables are independent?
In analyzing data from a school election, if you want to determine whether grade level and candidate choice are associated with each other without regard to actual vote counts, which measure would be most appropriate?
If an observational study observes that there is an association between eating breakfast and high school GPA scores through a logistic regression model, what potential issue should be considered before concluding causation?
After analyzing data from two categorical variables using a logistic regression model, researchers find an odds ratio of 0.7 between variable A and B. However, how significant should this result be considered if the sample was non-randomly selected?
When analyzing the relationship between two categorical variables using a two-way table, what measure should be calculated to compare the distributions across categories?
What type of relative frequency does the question "What is the probability of choosing someone that is a girl and likes ice cream" yield?
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To explore if there's an interaction between studying habits and academic performance, which graphical representation should be used to display counts from a survey conducted on students?
What is a plausible reason for finding a positive correlation between ice cream sales and drowning incidents without implying causation?
Which type of variable cannot be meaningfully ordered or measured on a continuous scale?