Probability Sampling

Probability Sampling

1. Simple Random Sampling

   • makes sure each element in the population of = equal chance of being included in a sample

2. Systematic Sampling

   • a starting point is slected by a random process and then every nth number on a list is selected

3. Stratified Sampling

   • simple random subsamples that are more or less equal on characteristic are drawn from within each stratum of the population

4. Cluster Sampling

   • a large cluster of elements and clusters are selected randomly rather than the individual element of the population

5. Multistage Area Sampling

   • involves using a combination of two or more probability sampling techniques