Data collection - stats

• there are 3 types of random sampling
• there are 3 types of sampling

  1. simple random
  2. systematic sampling
  3. stratified
• to take a simple random sample you need a sampling frame, you then allocate each person a random number and use a random number generator to give a non biased result
• to take a systematic sample you divide the sample size by the population and take every nth person
• to take a stratified sample the population is divided into strata which you then take a random sample from each strata
• there are 2 types of non-random sampling

  1. quote
  2. opportunity
• for quota sampling the population is divided into groups according to characteristic, you then interview people and allocate a quota
• to do opportunity sampling you take samples from people who are available at the time your study is being carried out who fit the criteria
• there are 4 types of data

  1. quantitive
  2. qualaltitive
  3. continuous
  4. discrete