Answer :

The four types of probability sampling methods are

1. Simple random sampling

2. Stratified sampling

3. Systematic sampling

4. Cluster sampling

Probability sampling is a sampling method that involves randomly selecting a sample, or a part of the population that you want to research.

1. Simple Random Sampling: Simple random sampling gathers a random selection from the entire population, where each unit has an equal chance of selection. This is the most common way to select a random sample.

2. Stratified Sampling: Stratified sampling collects a random selection of a sample from within certain strata, or subgroups within the population. Each subgroup is separated from the others on the basis of a common characteristic.

3. Systematic Sampling: Systematic sampling draws a random sample from the target population by selecting units at regular intervals starting from a random point. This method is useful in situations where records of target population already exist.

4. Cluster Sampling: Cluster sampling is the process of dividing the target population into groups, called clusters. A randomly selected subsection of these groups then forms the sample. It usually involves existing groups that are similar to each other in some way

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