Non-probability sampling is a sampling technique which does not give all the individualsin the population equal chances of being selected, e.g., Convenience Sampling—samples are selected being accessible to the researcher or easy to collect. Consecutive sampling—selecting all accessible subjects making the sample a better representation of the entire population. Quota Sampling—selection ensures equal or proportionate representation of subjects per trait considered as basis of the quota for a given sample size Judgmental Sampling or purposive sampling— selecting with the belief that some subjects are more suitable than other individuals for the purpose. Snowball Sampling—selecting a subject who is asked to identify another potential subject meeting the research criteria. Snowball sample is hardly representative of the population. A probability sampling utilizes some form of random selection method that ensures that the different units in the population have equal probabilities of being chosen, e.g., Simple Random Sampling— drawing a name out of a lot, or using computers for generating random numbers. Stratified Random Sampling—randomly selecting from smaller group divisions of a large population that usually don’t overlap but represent the entire population together. Cluster random sampling—randomly selecting participants from select areas (i.e. cities or counties) when they are geographically spread out. Systematic Sampling—randomly selecting every “nth” individual to be a part of the sample according to a random starting point and a fixed periodic interval.