Sources of data – ACCA Management Accounting (MA)
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Hi, I want to ask what are the differences between cluster sampling and stratified sampling
Stratified sampling involves splitting the population into various strata and taking the sample from members of each of the strata. The strata may often be age, gender or some other demographic. Cluster involves splitting the population into various groups and selecting the sample from the whole of some selected groups. For example, selecting various streets within a town’s population.
sir can you explain cluster sampling with the help of another example
can you explain “quasi-random” in simple term?
Only partly random. Not completely ransom.
how are cluster sampling and quota sampling used for predicting the results of election in a country?