List out any four types of random sampling techniques.

Types of Random Sampling Techniques

• Simple Random Sampling – every unit in the population has an equal chance of being selected, usually by using a random number table or computer‑generated numbers.
• Systematic Random Sampling – select every k‑th element after a random start; the interval k = N/n (population size ÷ sample size).
• Stratified Random Sampling – divide the population into homogeneous sub‑groups (strata) and draw a simple random sample from each stratum proportionally.
• Cluster (or Area) Random Sampling – partition the population into clusters (e.g., geographic areas), then randomly select whole clusters and include all units within the chosen clusters.
• Multistage Random Sampling – combine two or more of the above methods, selecting samples in successive stages (e.g., first clusters, then simple random samples within selected clusters).