Stratified sampling

View mindmap
  • Stratified sampling
    • Stratified sampling 2
      • You can use  each cell in a two-way table as a stratum
      • You need to ensure that the proportion of the stratum in sample is the same as its proportion in the population
    • Stratified sampling 1
      • A stratum is a group in the population
        • In a stratified sample, the relative sizes of the groups in the sample are the same as their relative sizes in the whole population. For example: if there were twice as many boys as girls in a population, then you need twice as many boys as girls in the stratified sample
      • Number in the sample for each stratum = (stratum size divided by population size) multiplied by the number in a sample
    • Stratified sampling can be used when the population can be split into distinct groups
    • The advantage over simple random sampling is that you can certain that all the groups are represented in the sample. This may not be true for simple random sampling

Comments

No comments have yet been made

Similar Statistics resources:

See all Statistics resources »See all Collecting data resources »