Non-parametric statistics are typically associated with which types of measurements?

Non-parametric statistics are typically associated with which types of measurements?

• A. Interval or ratio data
• B. Ordinal or nominal data
• C. Continuous data
• D. Dichotomous data

Answer: (B)

Non-parametric methods don't rely on a specific distribution and are most naturally used when data come in categories rather than precise values. This fits ordinal data, where you can rank order but don’t know the exact differences between ranks, and nominal data, where categories have no natural order. In these cases, analyses focus on ranks or category frequencies rather than means and variances. While non-parametric approaches can be used with continuous data if distributional assumptions are violated, they are typically associated with ordinal or nominal measurements.

Non-parametric methods don't rely on a specific distribution and are most naturally used when data come in categories rather than precise values. This fits ordinal data, where you can rank order but don’t know the exact differences between ranks, and nominal data, where categories have no natural order. In these cases, analyses focus on ranks or category frequencies rather than means and variances. While non-parametric approaches can be used with continuous data if distributional assumptions are violated, they are typically associated with ordinal or nominal measurements.