Dichotomous data are data that are limited to how many values?

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Multiple Choice

Dichotomous data are data that are limited to how many values?

Explanation:
Dichotomous data are two-valued, meaning they can take only two possible outcomes, such as yes/no or present/absent. This binary nature sets them apart from data measured in degrees (continuous data), data that represent multiple categories (nominal data with more than two levels), and counts of whole numbers (discrete data that can take many different values). In practice, you’ll often see dichotomous data coded as two categories like 0 and 1, reflecting the two possible outcomes.

Dichotomous data are two-valued, meaning they can take only two possible outcomes, such as yes/no or present/absent. This binary nature sets them apart from data measured in degrees (continuous data), data that represent multiple categories (nominal data with more than two levels), and counts of whole numbers (discrete data that can take many different values). In practice, you’ll often see dichotomous data coded as two categories like 0 and 1, reflecting the two possible outcomes.

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