To select a _________ sample, the population is divided into disjoint subgroups according to some characteristics like income level, and then a few individuals are selected randomly from each of the subgroups to be in the sample. (Points : 1)
(May choices are)
stratified
random
cluster
systematic
Stratified.
To select a stratified sample, the population is divided into disjoint subgroups according to some characteristics like income level, and then a few individuals are selected randomly from each of the subgroups to be in the sample.
This method of sampling ensures that each subgroup or stratum of the population is represented proportionally in the sample. By dividing the population into subgroups and selecting random individuals from each subgroup, we can obtain a sample that accurately reflects the diversity of the population.
To implement this method, you would need to follow these steps:
1. Identify the characteristics or variables that you want to use for stratification. In this case, income level could be a characteristic that you choose to stratify the population by.
2. Divide the population into subgroups or strata based on these characteristics. For example, you could create income brackets or categories such as low income, middle income, and high income.
3. Determine the number of individuals you want to select from each stratum. This could be based on factors such as desired sample size or the proportion of individuals in each stratum.
4. Randomly select the specified number of individuals from each stratum. This can be done using random selection methods such as random number generators or random selection tables.
By following these steps, you can obtain a stratified sample that provides a representative and unbiased representation of the population you are studying.