Statistics for Data Science and Business Analysis - Levels of Measurement

The video tutorial explains the classification of data into qualitative and quantitative types. Qualitative data is divided into nominal and ordinal categories, while quantitative data is split into interval and ratio types. The key difference between interval and ratio data is the presence of a true zero in ratio data. Examples such as temperature scales illustrate these concepts. The tutorial concludes with a brief mention of graph types used in data representation.

Which of the following is an example of nominal data?

• Distance in kilometers

• Temperature in Celsius

• Car brands like Mercedes, BMW, Audi

• Rating a movie from 1 to 5 stars

What distinguishes ordinal data from nominal data?

• Ordinal data is continuous, nominal data is discrete

• Ordinal data has a true zero, nominal data does not

• Ordinal data is numerical, nominal data is not

• Ordinal data can be ordered, nominal data cannot

What is a key characteristic of ratio variables?

• They can represent ratios of things

• They are always expressed in words

• They do not have a true zero

• They are less common than interval variables

Why is temperature in Celsius considered an interval variable?

• It does not have a true zero

• It can be expressed as a ratio

• It is a commonly used scale

• It has a true zero point

Which temperature scale is considered a ratio variable due to its true zero?

• Rankine

• Kelvin

• Fahrenheit

• Celsius