Cluster Sampling | Differences between Stratified & Cluster Sampling


đźš©Timestamps:- 
00:20 meaning of word Cluster
00:32 procedure – Cluster Sampling
02:19 explanatory figure
04:48 suitability, merits
05:37 demerits
09:19 key differences b/w Stratified & Cluster Sampling

18:55 INFO Card
Stratified (Mixed) Sampling – Meaning, Procedure, Example, Merits, Demerits

7. Cluster Sampling-

     involves dividing the population into subgroups

     each subgroup should have similar characteristics

     you randomly select entire subgroups

 

     good for dealing with large and dispersed populations

 

     more risk of error in the sample

     there could be substantial differences between clusters

     difficult to guarantee that the sampled clusters are really representative of the whole population

(Cluster Sampling) meaning of word Cluster, explanatory figure, procedure – Cluster Sampling, merits, demerits, key differences b/w Stratified & Cluster Sampling | Collection of Data | 11th Commerce | by @statomics11comm

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Reference list entries:- 
1. Sampling Methods | Types, Techniques & Examples
https://www.scribbr.com/methodology/sampling-methods/ 

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