Q 316. The population is divided into smaller parts in both cluster and stratified sampling. However, both are different. How is Cluster sampling different from Stratified sampling? Explain with examples.

 

 

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It is important to have an unbiased sample concerning the population when conducting surveys so that the results and predictions made are more accurate. This may not be the case of random sampling as here the samples are always biased as it does not represent the population accurately. Hence, Stratified sampling and Cluster Sampling are preferred to overcome the bias and efficiency issues of simple random sampling.

 

Difference between Stratified and Cluster Sampling:

 

 

Both are random sampling.

Sratified allows you to pick basis a specific criterion eg pick 10 girls ans 10 boys randomly from the total group.

Cluster may have eg several districts having large population are clusters and lets say out of 50 districts you chose 5 randomly out of that 50 is clustered sampling

 

Glory has provided the best answer to this question. Well done.