A public health researcher wants to study the prevalence of a certain disease in a large city. To ensure they have a representative sample, they divide the city into different regions based on socioeconomic status (low, middle, and high income). Then, they randomly select a proportional number of individuals from each socioeconomic group to participate in the study. Which type of sampling technique is being used in this scenario? a. Stratified Sampling b. Simple Random Sampling c. Cluster Sampling d. Systematic Sampling

Question

A public health researcher wants to study the prevalence of a certain disease in a large city. To ensure they have a representative sample, they divide the city into different regions based on socioeconomic status (low, middle, and high income). Then, they randomly select a proportional number of individuals from each socioeconomic group to participate in the study. Which type of sampling technique is being used in this scenario? a. Stratified Sampling b. Simple Random Sampling c. Cluster Sampling d. Systematic Sampling

Answer 1

The correct answer is a. Stratified Sampling.In this scenario, the researcher is dividing the city into different regions based on socioeconomic status (low, middle, and high income). This is the first step in stratified sampling, where the population is divided into distinct subgroups or strata.Next, the researcher is randomly selecting a proportional number of individuals from each socioeconomic group to participate in the study. This is the second step in stratified sampling, where a sample is taken from each stratum in proportion to its size.By using stratified sampling, the researcher ensures that the sample is representative of the different socioeconomic groups within the city, which is important for studying the prevalence of a certain disease.

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