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Posted By: Bernard inyang
About this Talent:
STRATIFIED SAMPLING
when the population embrasses a number of distinct categories the organised by these categories into separate strata.
Each stratum is then sampled as an independent sub population out of independent sub population out of which individual element can be be randomly selected there are several potential benefits to stratified sampling dividing the population into distinct independent strata and enable researchers to draw inference about specific sub roots that maybe lost in a more generated random sample
ADVANTAGES
utilizing a stratified sampling method can lead to a more efficient statistical estimates
It is sometime the case that data are more really available for individual per existing strata within the population than for the over roll population in such cases, using a stratified sampling approach maybe more convenient than aggregating data across groups however each stratum is treated as an independent population and different sampling approaches can be applied different strata for each identified sub-group within the population
A stratified sampling approach is most effective when three conditions are met.
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