Sampling is a process used in statistical analysis where a predetermined number of observations are taken from a larger population. There are two main sampling methods: probability sampling, which uses random selection, and non-probability sampling, which uses non-random techniques. Probability sampling methods include simple random sampling, systematic sampling, stratified sampling, and cluster sampling. Non-probability sampling includes convenience sampling, quota sampling, judgemental/purposive sampling, and snowball sampling. The advantages of sampling include lower cost, less time consumption, and higher accuracy of data collection, while disadvantages include potential for bias and inability to select truly representative samples.