# what level of measurement classifies data into mutually

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What Level of measurement classifies data into mutually exclusive categories, including nominal, ordinal, interval, and ratio. Nominal data is categorical data that does not have any numerical value and cannot be ordered.

Ordinal data has a numerical value and can be ordered, but not necessarily quantified. Interval data is numerical data that can be quantified and ordered, but the intervals between the numbers do not necessarily indicate an equal measure or distance.

Ratio data is numerical data that can be quantified and ordered, and the intervals between the numbers indicate an equal measure or distance.

Q1. What is the difference between nominal and ordinal data?

The primary difference between nominal and ordinal data is that nominal data is categorical data that does not have any numerical value and cannot be ordered, whereas ordinal data has a numerical value and can be ordered, but not necessarily quantified.

Q2. What is interval data?

Interval data is numerical data that can be quantified and ordered, but the intervals between the numbers do not necessarily indicate an equal measure or distance.

Q3. Is nominal data quantitative or qualitative?

Nominal data is qualitative data as it does not have any numerical value and cannot be ordered.

Q4. What is a ratio measurement?

A ratio measurement is numerical data that can be quantified and ordered, and the intervals between the numbers indicate an equal measure or distance.

Q5. What are the 4 levels of measurement?

The 4 levels of measurement are nominal, ordinal, interval, and ratio.