In statistics, sampling is a process of collecting information from a subset of a population so as to reach conclusions about the whole population. This method is used because collecting information from the whole population is likely to be expensive and time consuming, and in some cases pointless. For example, if you tested the life expectancy of all light bulbs, you would have none left to sell!
Chat with our AI personalities
It means to take samples. This is often done in statistics; for example, in many cases you can't reasonably interview every single person on Earth, or in a country, so you take samples, and interview a few people. This has to be done carefully, to be reasonably sure that the sample is representative of the entire larger population.
They include: Simple random sampling, Systematic sampling, Stratified sampling, Quota sampling, and Cluster sampling.
Sampling and Non sampling errors
Random Sampling
simple random, stratified sampling, cluster sampling
Sampling error can be reduced by