RESEARCH METHODOLOGY

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STATISTICAL TECHNIQUES AND TOOLS

SAMPLING DISTRIBUTION

Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
The process of dividing the population into subgroups or ‘strata’ and drawing members at random from each subgroup or ‘strata’.
A
Simple Random Sampling
B
Stratified Random Sampling
C
Systematic Random Sampling
D
Cluster Random Sampling
Explanation: 

Detailed explanation-1: -What is stratified sampling? In stratified sampling, researchers divide subjects into subgroups called strata based on characteristics that they share (e.g., race, gender, educational attainment). Once divided, each subgroup is randomly sampled using another probability sampling method.

Detailed explanation-2: -Cluster sampling divides the population into groups or clusters. A number of clusters are selected randomly to represent the total population, and then all units within selected clusters are included in the sample.

Detailed explanation-3: -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.

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