This document provides information about sampling design and different sampling techniques used in research. It begins with definitions of sampling and sample, explaining that a sample is a subset of a population used to make inferences. It then describes different non-probability and probability sampling techniques. Non-probability techniques include convenience sampling, purposive sampling, snowball sampling, and quota sampling. Probability techniques include simple random sampling, systematic sampling, stratified sampling, and cluster sampling. Examples are provided to illustrate each technique.