Cluster Sampling | Differences between Stratified & Cluster Sampling

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🚩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/ 

TAGS (csv)
Cluster Sampling, meaning of word Cluster, explanatory figure, procedure – Cluster Sampling, merits, demerits, key differences b/w Stratified & Cluster Sampling, Differences, Stratified Sampling, Cluster Sampling, Collection of Data, 11th Commerce CBSE, statomics11comm 

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