Middle Years

Lesson

Numerical data is data that can be counted, ordered and measured. It is sometimes also called **quantitative data**.

Numerical data can be either continuous or discrete.

A data set is continuous if the values can take on any value within a finite or infinite interval.

Examples of continuous data are height, weight, temperature or the time taken to run $100$100 metres.

Notice how all of these examples could be anywhere on a scale interval, including fractional and decimal values. For example, it might be $25.3$25.3$^\circ$°C, or a man might be $182.13$182.13 cm tall.

A data set is discrete if the numerical values can be counted but are distinct and separate from each other. They are often (but not always) whole number values.

Some examples of discrete data are: the number of goals scored in a game, the number of people in a class, the number of pets people have.

Notice how all these examples have distinct values. For example, you couldn't score $2.5$2.5 goals in a game of soccer or own $\frac{1}{4}$14 of a dog, so there is no continuity between the scores.

In some tournaments, half a point is awarded for a draw. In this case, there could be a score of $2.5$2.5, but there still could **not** be scores of $2.25$2.25 or $2.75$2.75 and so on, so the data is still **discrete**.

Categorical data is non-numerical. In other words, it describes the qualities or characteristics of a data set. Categorical data is sometimes also called **qualitative data**.

There are two types of categorical data: ordinal and nominal.

A set of data is ordinal if the values can be counted and ordered but **not **measured.

Rating scales are examples of ordinal data. The finishing places in a race is another example of ordinal data.

Think about it - the positions in a race can be ordered or ranked. Finishing first means you were faster than the person who came second and the person who finished eighth was slower than the person who finished sixth. However, the differences between the finishing times may not be the same between all competitors. Check out the picture below. The times between first and second will be really close - probably within half a second - however the time between second and third will be longer. There is not a fixed interval.

The word nominal basically means **name**. In other words, data is split up based on different names or characteristics. Nominal data may be the names of countries you have visited or your favourite colours. We could assign these different characteristics a number where the numbers are labels. In other words, we are giving categorical data numerical labels. We can count but **not **order or measure nominal data.

Which of the following are examples of numerical data? (Select all that apply)

favourite flavours

Amaximum temperature

Bdaily temperature

Ctypes of horses

D

Which one of the following data types is discrete?

The number of classrooms in your school

ADaily humidity

BThe ages of a group of people

CThe time taken to run $200$200 metres

D

Classify this data into its correct category:

Weights of dogs

Categorical Nominal

ACategorical Ordinal

BNumerical Discrete

CNumerical Continuous

D