Sampling

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1. a disadvantage of random sampling is that

  • it has a high risk of sampling error
  • you need a complete and accurate population listing
  • it is prone to bias
  • it is time consuming
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2. aims to obtaina representative sample of the overall population by dividing them using variables such as age and gender

  • Sratified sampling
  • Random sampling
  • Quota sampling
  • Systematic sampling

3. a strength of quota sampling is that

  • it is readily available
  • it can be costly
  • it is quick and easy
  • it is representative

4. entire population is divided into groups before a random sample of these is collected e.g. geographically

  • Stratified sampling
  • Cluster sampling
  • Spatial sampling
  • Random sampling

5. population is divided into sub-populations and we expect the amount of intrest to vary between groups. samples are therefore taken from each sub-population

  • Independent sampling
  • Cluster sampling
  • Stratified sampling
  • Random Sampling

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