1. 1. Divide the sample into different layers as needed, and the individuals in each layer must have the same characteristics. Record the number of samples in each layer.
2.2. Divide the number of samples to be extracted by the sample population to get the extraction rate. Multiply this ratio by the number of samples in each layer to get the number of samples to be extracted in each layer.
3.3. According to the quantity calculated in the second step, conduct simple random sampling on each floor. After the extraction is completed, stratified sampling is completed.
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Stratified sampling method-Baidu library
Page 10 Date of publication: April 7, 2022
Then according to a certain proportion, a certain number of individuals are independently extracted from each layer, and the individuals extracted from each layer are combined as samples. This sampling method is called stratified sampling.
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1. Simple random sampling: refers to directly taking a certain number of samples from the population. You can draw lots or random numbers. Although this method is simple, it will be more difficult to organize the investigation if the total number of people is large. Features: Directly from
2. Systematic sampling: it refers to sorting the population. First, the sorting should be random, and then the samples should be sampled according to a certain extraction distance. For example, press 1, 3, 5, 7, 9 … for sampling. This method is easy to operate.
3. Stratified sampling: refers to dividing the research object into several layers according to certain attributes of the research object (such as age, economy, gender and other factors that may affect the results), and then randomly selecting a certain number of research objects from each layer.
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