Classifications of Data

2.  On a scrap piece of paper can you define the 3
key terms from last week?

3.  To introduce all students to the different
classifications of data
1. All students will be able to identify all
classifications of data
2. Some students will be able to identify and
define all classifications of data
3. Some students may be able to apply their
knowledge through giving sporting examples
of each data classification

4.  There are 6 classifications of data:
1. Discrete
2. Nominal
3. Ordinal
4. Continuous
5. Interval
6. Ratio

5. Discrete data is a form of
data where only separate,
isolated or opposite values
can be achieved (for
example, male/female).
Ordinal data is where data
is ranked in an order, but
with no indication of skill
difference. Take the golf
rankings as an example,
players ranked 1, 2 and 3
show who is better.
However, it does not state
how much better player 1
is from player 2, is he 2
times better?
A nominal scale is where
participants are put into
categories and counted,
for example, grouping
hockey players under the
team they play for.
Interval data is based on a scale that has equal
intervals of measurement with equal intervals
between
each score. For example, in a figure skating
scoring
scale there is the same difference between
scoring 5
and 5.5 as there is between scoring 5.5 and 6.
Continuous data is data that
can have any numerical
value with any number of
decimal places. For example,
lap times in a Moto GP race
can be classed as
continuous data because of
the values they are given
(1 minute, 35.37 seconds).
Ratio data has proportional equal units of
measurement. Ratio scales range from zero upwards
and cannot have negative scores. For example, if a
rugby team scores 40 points, it is worth twice as much
as their opponents who have scored 20 points.

6.  100 sit ups race
 Coin football
 Macarena
 Office basketball
Which classification is each
game?
 Football teams that you support

7.  100 sit ups race - Continuous
 Coin football - Ratio
 Macarena – Interval
 Office basketball – Ordinal
 Football teams that you support - Nominal