Sample and type of sample?

A sample is a subset of a population that is selected for research or analysis. The type of sample can vary depending on the research design and objectives. Some common types of samples include:

1. Random sample: Individuals are selected from the population at random, giving each member an equal chance of being included in the sample.

2. Stratified sample: The population is divided into subgroups (strata) based on certain characteristics, and individuals are then randomly selected from each stratum.

3. Convenience sample: Individuals are selected based on their availability or accessibility, rather than through random selection.

4. Snowball sample: Participants are recruited through referrals from existing participants, creating a chain reaction of recruitment.

5. Cluster sample: The population is divided into clusters, and a random sample of clusters is selected for inclusion in the study.

6. Purposive sample: Participants are selected based on specific criteria or characteristics that are relevant to the research question.

These are just a few examples of the types of samples that researchers may use in their studies. The choice of sample type will depend on the research objectives, resources available, and the population being studied.