1 Data and Tables

Question 1

Variable

Answer 1

Something that varies
e.g. ask people their favourite ice-cream flavour, the answer will vary as you ask different people, so the ice-cream flavour is the variable

Question 2

Qualitative data

Answer 2

Describes the quality of a variable
e.g. colour, texture, scent, emotion, opinion

Question 3

Quantitative data

Answer 3

Data that is number based
- split into discrete and continuous data

Question 4

Discrete data

Answer 4

“Stepped” data where there are no values between the allowed values
- type of quantitative data
e.g. shoe size

Question 5

Continuous data

Answer 5

Opposite of discrete data, there are infinitely many values between the ones we write down
- type of quantitative data
e.g. height, weight

Question 6

Categorical data

Answer 6

Data that has already been put into categories
e.g. egg size; small, medium, large

Question 7

Ordinal data

Answer 7

Subset of categorical data where the categories have a natural order
e.g. very unhappy, unhappy, neutral, happy, very happy

Question 8

Bivariate data

Answer 8

Data that has two values attached to it
- will mostly be quantitative

Question 9

Multivariate data

Answer 9

Data that has more than two values attached to it
e.g. a vet will keep records of each animal’s mass, date of birth, breed, colour, etc.

Question 10

Raw data

Answer 10

Data that you first obtain
- usually unorganised and unprocessed