Question

what is probability sampling? Explain its types​

Answer 1

Explanation:

Probability sampling is a sampling technique that allows each participant equal chances of of being selected in the process of sampling.

.The types of Probability sampling are as follows: Simple Random Sampling (SRS) Stratified

Sampling. Cluster Sampling.

explain its types

Simple Random Sampling (SRS) Stratified => A simple random sample is used to represent the entire data population. A stratified random sample divides the population into smaller groups, or strata, based on shared characteristics. ... Each point in the population must only belong to one stratum so each point is mutually exclusive.

Sampling. Cluster Sampling.

In cluster sampling, researchers divide a population into smaller groups known as clusters. They then randomly select among these clusters to form a sample. Cluster sampling is a method of probability sampling that is often used to study large populations, particularly those that are widely geographically dispersed.

Answer 2

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Probability sampling:

• Probability sampling means that every member of the population has a chance of being selected. It is mainly used in quantitative research.

Types:

• Probability sampling methods include:

1. simple random sampling
2. systematic sampling
3. stratified sampling
4. cluster sampling