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Understanding Sampling Methods in Statistics by Chethan Kc is a document available to read on EtoBox.
Sampling involves selecting a subset of a population to make inferences about the whole population. Researchers rarely survey entire populations due to high costs and populations changing over time. Sampling provides advantages of lower cost, faster data collection, and ensuring homogeneity and quality of smaller datasets. There are two main types of sampling: probability sampling, where every unit has a known chance of selection; and non-probability sampling, where chances of selection cannot be accurately
- Author
- Chethan Kc
- Language
- EN