The target population is subdivided into segments or strata that share similar characteristics. Members are then chosen (randomly) from each stratum to form a representative sample. Which sampling method is this describing?

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Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]

A	Convenience
B	Stratified
C	Cluster
D	Random

Explanation:

Detailed explanation-1: -Stratified random sampling is a method of sampling that involves the division of a population into smaller subgroups known as strata. In stratified random sampling, or stratification, the strata are formed based on members’ shared attributes or characteristics, such as income or educational attainment.

Detailed explanation-2: -Definition: Stratified sampling is a type of sampling method in which the total population is divided into smaller groups or strata to complete the sampling process. The strata is formed based on some common characteristics in the population data.

Detailed explanation-3: -Stratified sampling In this method, the population is first divided into subgroups (or strata) who all share a similar characteristic.

Detailed explanation-4: -Stratified sampling is a method of random sampling where researchers first divide a population into smaller subgroups, or strata, based on shared characteristics of the members and then randomly select among these groups to form the final sample.

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