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A researcher wants to study the relationship of family size to income. He/She classifies population into different income slabs and then takes a random sample from selected slabs. Which one of the following techniques is he/she working with? 

A researcher wants to study the relationship of family size to income. He/She classifies population into different income slabs and then takes a random sample from selected slabs. Which one of the following techniques is he/she working with?  Correct Answer <span style="">Stratified random sampling</span>

Correct Answer: Stratified Random Sampling.

Key PointsStratified Random Sampling

  • Stratified random sampling is a method of sampling that involves the division of a population into smaller groups known as strata.
  • The groups or strata are organized based on the shared characteristics or attributes of the members in the group.
  • The process of classifying the population into groups is called stratification.
  • Stratified sampling is a commonly used probability method that is superior to random sampling because it reduces the sampling error.
  • A stratum is a subset of the population that shares at least one common characteristic.
  • Examples of strata might be males and females, or managers and non-managers.
  • The researchers first identify the relevant Strata and their actual representation in the population.
  • Random sampling is then used to select a sufficient number of a subject from each stratum.

Additional Information

  • Cluster sampling: The procedure of selecting clusters and then observing all the elements in the selected clusters is known as cluster sampling
  • Random sampling: If the units in the sample are selected using some random mechanism then such a procedure is called random sampling or probability sampling
  • Systematic sampling:  In systematic sampling, one unit is selected randomly and subsequent units are selected according to a pre-determined system. Invariably uniform distance is adopted for the preassigned system. 

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