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2. 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

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

3. an advantage of cluster sampling is that

  • it is quick and easy
  • is is very time consuming
  • its readily available
  • it is expensive

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

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

5. using stratified sampling over random sampling

  • is simpler to design and interpret
  • can increase accuracy
  • requires more visits around the population


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