What kind of variables would you cross-tabulate:

Question

BlackTom AI · Accepted Answer

When considering how cross-tabulation is typically used in data analysis, we look at the types of variables that can be organized into a contingency table.
Option 1: 'Two or more categorical' — Cross-tabulation is a classic technique for exploring relationships between categorical variables, where counts or frequencies are tabulated across the categories of each variable to observe associations or patterns.
Option 2: 'Two or more continuous' — Continuous (numerical) variables are not usually cross-tabulated in the traditional sense; instead, they are analyzed with methods like correlation, scatterplots, regression, or by creating bins, but a standard cross-tabulation of continuous variables would require converting them into categories. Relying on raw continuous variables in a cross-tabulation would not provide the typical categorical-by-categorical frequency table that cross-tabulation is designed to produce.
In summary, cross-tabulation is best described as a method for examining the relationship between categorical variables, whereas pairs of continuous variables are handled with different analytical approaches. Therefore, the option describing 'Two or more categorical' aligns with the standard use of cross-tabulation, while the option describing 'Two or more continuous' does not reflect the common application unless the continuous variables are discretized first.

BSYS847_2025_V1 Assessment 1: In-Class Quiz

What kind of variables would you cross-tabulate:

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