Stats 1 - Data Types

Front 1

VARIABLE

Back 1

something that varies! Having a range of
possible values (Collins). Often a measurement or
category

Front 2

DATA

Back 2

a series of observations, measurements, or
facts (Collins); information that can be analysed

Front 3

What is data analysis and why do we carry it out?

Back 3

Data analysis is a process of gathering, modelling,
and transforming data with the goal of highlighting
useful information, suggesting conclusions, and
supporting decision making (Wikipedia)

Front 4

Nominal

Back 4

(Categorical)
•data are not numerical
•items are just named or
put into categories
e.g gender

Front 5

Ordinal

Back 5

(Categorical,Rank or Order)
Variables can be ranked, but do not need to have equal intervals (karnofsky)

Front 6

Interval

Back 6

(true increments, but no real 0 point)
Data with equal intervals, e.g. temperature

Front 7

Ratio

Back 7

(true increments including 0)
True zero
"Highest of all levels"
e.g. distance, speed

Front 8

What type of data?
Colour of each car passing

Back 8

Nominal

Front 9

What type of data?
Speed of each car passing through the junction

Back 9

Interval

Front 10

What type of data?
Relative speed of successive cars

Back 10

Ratio

Front 11

What type of data?
Number of tyres on the car

Back 11

Ordinal

Front 12

What type of data?
Number of people in each car

Back 12

Ordinal

Front 13

What type of data?
Gender of the driver

Back 13

Nominal