what is stratified random sampling
for the stratified random sampling may be of considerable interest. For example, the For example, the ratio of per month total income and total ex penditure of people of different classes
Stratified Sampling. Suppose that the sample of students described in the previous section was actually selected using stratified random sampling. In stratified sampling, the study population is divided into nonoverlapping strata, and samples are selected independently from each stratum. The list of students in this junior high school wasStratified random sampling is a crucial sampling technique that ensures the representativeness of a sample. By dividing the population into distinct strata, researchers can capture the diversity within the population while maintaining a balanced representation of each subgroup. This sampling method is particularly useful when the population has
Stratified random sampling (aka proportionate stratified random sampling) is a type of probability sampling where you divide an entire population into different subgroups (strata). Then you randomly select individual subjects from within each subgroup (stratum) to create an accurate mini-sample that is proportional to the overall population.Probability sampling is a sampling method that involves randomly selecting a sample, or a part of the population that you want to research. It is also sometimes called random sampling. To qualify as being random, each research unit (e.g., person, business, or organization in your population) must have an equal chance of being selected. Stratified random sampling designs divide the population into homogeneous strata, and an appropriate number of participants are chosen at random from each stratum. Proportionate stratified sampling involves selecting participants from each stratum in proportions that match the general population. [1]