The Four Levels Of Measurement In Data Analysis: Nominal, Ordinal, Interval, And Ratio

List the four levels of measurement:

RatioIntervalNominalOrdinal

The four levels of measurement are:

1. Nominal: This is the lowest level of measurement, where the data is categorized into non-numeric labels or categories. Examples of nominal data include gender, religion, or favorite color. Nominal data cannot be ordered or ranked.

2. Ordinal: This level of measurement categorizes data into ordered or ranked categories. Examples of ordinal data include academic grades (A, B, C), socio-economic status (low, middle, high), and survey ratings (poor, fair, good, excellent).

3. Interval: This level of measurement measures data on a scale with equal and meaningful intervals. The intervals between values are equal, but there is no true zero point. Examples of interval data include temperature in Celsius or Fahrenheit, and scores on IQ tests.

4. Ratio: This is the highest level of measurement, and includes all the characteristics of interval measurement but with a true zero point. This allows for ratios to be formed between values. Examples of ratio data include height, weight, income, and distance.

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