what is a key distinction between parametric tests and nonparametric tests in terms of scales of measurement? group of answer choices there is no distinction; both types of tests are used to analyze data on any scale of measurement. parametric tests are used for ordinal or interval data, whereas nonparametric tests are used for nominal data only. parametric tests are used for ordinal and nominal data, whereas nonparametric tests are used for interval and ratio data parametric tests are used for interval and ratio data, whereas nonparametric tests are used for nominal and ordinal data.

Key distinction between parametric tests and nonparametric tests in terms of scales of measurement is that parametric tests are used for interval and ratio data and non parametric tests are used for ordinal and nominal data.

i.e., the last given option.

For interval and ratio data, parametric tests are employed, while non-parametric tests are used for ordinal and nominal data

Data containing discrepancies or intervals are displayed in interval data.

The ratio data, which may be added to, subtracted from, multiplied by, or split, is the one in which statistical conclusions are used.

Ordinal data are measurements of quantitative data that are in order, such height and weight.

Nominal data are those that we measure quantitatively but do not require order or sequence, such as hair color or eye color.

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