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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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