Types of Data

Question 1

Qualitative Data?

Answer 1

Definition: Non-Numerical data.

Example: Eye colour, type of car, favourite subject.

Key Tip: Non-numerical.

Question 2

Quantitative Data?

Answer 2

Definition: Numerical Data.

Example: Height, number of pets, shoe size.

Key Tip: Numerical.

Question 3

Discrete Data

Answer 3

Definition: Quantitative data that can take only specific values.

Example: Number of siblings (1, 2, 3…), shoe sizes.

Key Tip: Countable, no in-betweens.

Question 4

Continuous Data

Answer 4

Definition: Quantitative data that can take any value within a range.

Example: Height (162.5 cm), time (2.37 seconds).

Key Tip: Measurable, infinite possible values.

Question 5

Population

Answer 5

Definition: The entire group you want to study or gather data from.

Example: All students in a school.

Question 6

Sample

Answer 6

Definition: A subset of the population used to represent the whole.

Why?: It saves time, effort, and money compared to a census.

Question 7

Bivariate Data
(Bicycle) (two wheels)

Answer 7

Data which involves pairs of related data (each pair of data points refer to one item)

Question 8

Multivariate Data

Answer 8

Data which involves three or more related data values. Each set of data values refers to one item

Question 9

Ordinal Data

Answer 9

Data from a numerical rating scale

Question 10

Discrete Data

Answer 10

Can only take particular values (eg. Shoe size, number of words typed per minute)