steps that are followed in taking a stratified random sample are
i. Take a sample of size n/k from each strata, where n is the sample size and k is the number of strata
iv. Take a systematic sample from the population as a whole. Take random samples from each strata.
Stratified random sampling is a sampling method that divides the population into smaller groups called layers. Groups or hierarchies are organized based on the common characteristics or attributes of the members in the group. The process of dividing the population into groups is called hierarchization.
Stratified Random Sample Example:
Suppose a research team wants to determine a GPA for a college student in the United States. The research team is having a hard time collecting data from all 21 million college students. We decided to use 4,000 students to extract a random sample of the population.
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