Levels of measurement

Question 1

What is Nominal data and when is it used?

Answer 1

Nominal data is a non-numerical categorical data type where the values represent different categories or groups without any inherent order or numerical meaning.

Examples of nominal data include gender and eye colour.

It is the only non-numerical data type

Question 2

What is Ordinal data and when is it used?

Answer 2

Ordinal data is a categorical data type that has a natural order or ranking between the categories. The categories are assigned a rank or position based on some characteristic or attribute. However, the intervals between the ranks may not be equal.

Examples of ordinal data include movie score rating out of 10.

Question 3

What is interval data and when is it used?

Answer 3

Interval data is a numerical data type where the values are measured on a scale with equal intervals between them. It does not have a true zero point, meaning that the value of zero does not represent the absence of the measured attribute.

An Example of interval data is temperature

Question 4

What is Ratio data and when is it used?

Answer 4

Ratio: Ratio data is a numerical data type that has a true zero point, meaning that zero represents the absence or complete lack of the measured attribute. It has equal intervals between values and allows for meaningful ratios and comparisons.

Examples of ratio data include weight, height, time in seconds, or number of correct answers on a test.