Exploring Two–Variable Data
When constructing segmented bar graphs to show percentages within each category of a categorical variable, what needs to be consistent across all segments?
Which graph is commonly used to represent the distribution of a single categorical variable?
When constructing a two-way table from a survey about exercise habits and study time among students, which would be the most appropriate way to summarize the relationship between the two variables?
In a study comparing two categorical variables, which test should be used to determine if there is an association between the variables in the population?
Which of the following graphical representations consists of two separate bar charts, one for each categorical variable, plotted next to each other to compare the proportions of data points?
What kind of table would best display the relationship between two categorical variables?
When examining the relationship between two categorical variables in a contingency table, what should you look at to determine if there's an association?
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When evaluating the relationship between two categorical variables, why is it important to consider the sample size in a contingency table?
When comparing response rates from mailed surveys about recycling habits across four age groups, which measure would best capture an association that does not depend on the overall sample sizes within each group?
What does it mean for two variables to be associated in the context of bivariate categorical data?