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18 Jan 2017 In an earlier post, we saw the definition, advantages and drawback of simple random sampling. Today, we're going to take a look at stratified
 For example, geographical regions can be stratified into similar regions by The principal reasons for using stratified random sampling rather than simple
 Definition of stratified sampling, from the Stat Trek dictionary of statistical terms and Stratified Random Sampling Thesis - Ministry of Foreign Malawi Missions
 10 May 2017 Stratified random sampling divides a population into subgroups or strata, and random samples are taken, in proportion to the population, from
 Example—A researcher polls people as they walk by on the street. Why it's Cluster random sample: The population is first split into groups. The overall sample
 The simplest scheme is simple random sampling, which samples randomly without Stratified sampling splits the population into subgroups or strata, using
 The types of random sampling methods recommended for IFAD projects include the Cluster sampling: Used to reduce survey costs when the overall beneficiary with mission members collecting information from beneficiaries who are easy
        
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