Questions: Name each level of measurement for which data can be qualitative. Select all the levels of measurement for which data can be qualitative. A. Ratio B. Interval C. Nominal D. Ordinal

Name each level of measurement for which data can be qualitative. Select all the levels of measurement for which data can be qualitative. A. Ratio B. Interval C. Nominal D. Ordinal
Transcript text: Name each level of measurement for which data can be qualitative. Select all the levels of measurement for which data can be qualitative. A. Ratio B. Interval C. Nominal D. Ordinal
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Solution

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The answer is C and D: Nominal and Ordinal.

Explanation for each option:

A. Ratio: This level of measurement is quantitative, not qualitative. Ratio data have a true zero point and allow for the comparison of absolute magnitudes. Examples include height, weight, and age.

B. Interval: This level of measurement is also quantitative. Interval data have meaningful differences between measurements but no true zero point. Examples include temperature in Celsius or Fahrenheit and IQ scores.

C. Nominal: This level of measurement is qualitative. Nominal data categorize or label variables without any quantitative value. Examples include gender, nationality, and hair color.

D. Ordinal: This level of measurement can be qualitative. Ordinal data provide a ranking or ordering of items but do not measure the difference between them. Examples include class rankings, levels of satisfaction, and socioeconomic status.

Therefore, the levels of measurement for which data can be qualitative are Nominal and Ordinal.

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