levels of measurement (decision 3)

q____ data can be divided into different l____ of m____ which can influence what

quantitative data can be divided into different levels of measurement which can influence the choice of statistical test

what are the three levels of measurement

• nominal data

• ordinal data

• interval data

nominal data

• is data measured how

• give an example

• nominal data is discrete - what does this mean

nominal data

• is data measured in categories

• e.g people who answer yes are in one group and people who answer ‘no’ are in another group

• discrete - which means as one item can only appear in one of the categories ( yes or no not both)

ordinal data

• data measured how

• give an example

• does not have what

• ✘- what is a disadvantage of ordinal data

ordinal data

• data measured by order/rank (ordinal-order)

• e.g a rating on a scale of one to ten

• does not have equal intervals between each unit

• ✘- lacks precision because it is based in subjective opinion rather then objective measures for example what constitutes as a ‘4’ or a ‘8’ on a rating scale of like happiness is different for everyone

interval data

• data measure by n____ s_____ and e____ g___ between the values

• give an examples

interval data

• data measure by numerical scales and equal gaps between the values

• e.g temp between 20°c and 30°c is the same as 60°c and 70°c

what standard of deviation and measurement of central tendency do use for all 3