levels of data

• what are the three levels of data

  interval, ordinal, nominal
• what is interval data

  data used to standardised unit or measurements [histograms, bar charts]
• examples of interval data

  measuring heights in cm of people, temperature, score of a test
• what is ordinal data

  ordered data, ranked or rated data
• examples of ordinal data

  ordering a group of people in order of their heights from tall to small
• what are the strengths and weaknesses of ordinal data

  strength: more detailed than nominal and can see the range weaknesses: the gaps between values don;t have to be equal so mean cant always be used to analyse data
• what is nominal data

  categories of data/behaviour
• examples of nominal data

  organising people into three groups of tall, average, short. yes/no, female/male responses
• what are the strengths and weaknesses of nominal data

  strengths: easy to generate and work with, closed questions weaknesses: limited details, can only use the mode when analysing data