Nominal and Ordinal Data

Front

What is nominal data?

Back

Nominal data is a type of categorical data that represents categories without any order or ranking. Examples include blood type, gender, and colors.

Front

What is ordinal data?

Back

Ordinal data is a type of categorical data that represents categories with a meaningful order or ranking, but the intervals between the ranks are not necessarily equal. Examples include class rankings and survey ratings.

Front

What is the difference between nominal and ordinal data?

Back

Nominal data categorizes without order, while ordinal data categorizes with a specific order.

Front

What scale of measurement is used for age?

Back

Age is measured on a ratio scale, as it has a true zero point and allows for comparison of differences.

Front

What scale of measurement is used for student test scores?

Back

Student test scores are typically measured on a ratio scale, as they have a true zero and allow for meaningful comparisons.

Front

What is an example of nominal data?

Back

An example of nominal data is the types of fruits (e.g., apple, banana, orange) where there is no inherent order.

Front

What is an example of ordinal data?

Back

An example of ordinal data is a satisfaction survey with responses like 'satisfied', 'neutral', and 'dissatisfied', which have a clear order.

Front

What is a ratio scale?

Back

A ratio scale is a quantitative scale that has a true zero point, allowing for the comparison of absolute magnitudes. Examples include height, weight, and age.

Front

What is an interval scale?

Back

An interval scale is a quantitative scale where the difference between values is meaningful, but there is no true zero point. An example is temperature in Celsius.

Front

How do you identify nominal data in a dataset?

Back

Nominal data can be identified by looking for categories or labels that do not have a numerical value or order.