To determine which option is NOT a level of measurement, let's review the four levels of measurement used in statistics:
1. Nominal: This level of measurement classifies data into distinct categories in which no order or ranking can be imposed (e.g., colors, names, labels).
2. Ordinal: This level involves categories that can be ordered or ranked, but the differences between categories are not meaningful (e.g., ranks, levels of satisfaction).
3. Interval: This level has ordered categories where the differences between the values are meaningful. However, there is no true zero point (e.g., temperature in Celsius or Fahrenheit).
4. Ratio: This level of measurement also has ordered categories, with meaningful differences between values and a true zero point, which allows for the calculation of ratios (e.g., height, weight, age).
Now, let's analyze the options given:
- Ordinal: Yes, this is a level of measurement.
- Ratio: Yes, this is a level of measurement.
- Quantitative: This is a type of data, not a level of measurement. Quantitative data can be measured and expressed numerically. It encompasses both interval and ratio levels of measurement.
- Nominal: Yes, this is a level of measurement.
Therefore, the correct answer is:
○ Quantitative
