levels of measurement

Question 1

what types of measurement are they?

Answer 1

nominal data
ratio data
interval data
ordinal data

Question 2

nominal data

Answer 2

categories of data represented by
frequencies. The data sets have no relative numerical value, e.g. boys and
girls.

Question 3

ordinal data

Answer 3

data can be placed into ascending or descending order, but the intervals
between data are not necessarily equal,
e.g. the times for first, second and third
in a race.

Question 4

interval data

Answer 4

has equal
numerical intervals between scores, e.g.
temperature. The interval between 1
and 2 degrees is the same as between
21 and 22 degrees.

Question 5

ratio data

Answer 5

has equal intervals between scores and has an
absolute or true zero point, e.g. speed (mph).

Question 6

difference between them nominal

Answer 6

Nominal data is the least sophisticated; it just gives us a very basic picture,
e.g. 7 classmates own a dog and 8 do not – we don’t know any further
details.

Question 7

which data is least sophisticated

Answer 7

nominal data

Question 8

ordinal data whats the difference ?

Answer 8

still has no relative
mathematical value, e.g. we know that key stages at school occur in
ascending order from KS1 up to KS5, but how long you spend in each one is
not necessarily equal – the numbers are merely labels that can be ranked

Question 9

which is better ordinal or nominal

Answer 9

ordinal as its more complex than nominal but it cant be ranked its just labels

Question 10

ratio data, whats the difference

Answer 10

means something mathematically and can be compared as such. Finally,
ratio is the ‘elite’ of the data world – it is a form of data that is both interval
and has a true zero point. It gives us the most complex picture of all levels of
measurement.

Question 11

why is levels of measurement important ?

Answer 11

so that we can correctly identify an appropriate statistical test
and draw conclusions about differences across the data set accordingly