Categorical Data Statistics Example 1
Follow the full solution, then compare it with the other examples linked below.
Example 1
easyClassify each of the following as categorical or numerical data: (a) Favourite pizza topping, (b) Height in centimetres, (c) Eye colour, (d) Number of siblings.
Solution
- 1 Step 1: Categorical data consists of labels or names that describe qualities — they cannot be meaningfully averaged or ordered numerically.
- 2 Step 2: Numerical data consists of numbers that represent measurements or counts and can be ordered and averaged.
- 3 Step 3: Apply: (a) Favourite pizza topping — labels/names → categorical. (b) Height in cm — measurement → numerical. (c) Eye colour — labels → categorical. (d) Number of siblings — count → numerical.
Answer
(a) Categorical, (b) Numerical, (c) Categorical, (d) Numerical.
Categorical data describes qualities or categories (like colour, type, or preference) while numerical data represents quantities that can be measured or counted. Recognising the data type is essential for choosing appropriate graphs and statistical measures.
About Categorical Data
Categorical data is data that can be sorted into groups or categories, like colors, types, or names, rather than measured with numbers. You can count how many items fall into each category, but you cannot meaningfully add, subtract, or average the category labels themselves.
Learn more about Categorical Data →More Categorical Data Examples
Example 2 medium
A survey asks: 'Rate your satisfaction: Very Unsatisfied, Unsatisfied, Neutral, Satisfied, Very Sati
Example 3 mediumA student collects data on 20 classmates: shoe size, favourite subject, number of pets, and birth mo
Example 4 hardA researcher records the following for 100 cars: colour (red, blue, white, black, other), fuel type