Assignment
Explain the remaining four divisions of probability sampling
i. Stratified sampling.
ii. Cluster sampling.
iii. Systematic sampling.
iv. Multi- stage sampling.
2. What is non-probability sampling.
i. Stratified sampling:
Description
In statistics, stratified sampling is a method of sampling from a population which can be partitioned into subpopulations. In statistical surveys, when subpopulations within an overall population vary, it could be advantageous to sample each subpopulation independently.ii. Cluster sampling: Cluster sampling is a sampling plan used when mutually homogeneous yet internally heterogeneous groupings are evident in a statistical population. It is often used in marketing research. In this sampling plan, the total population is divided into these groups and a simple random sample of the groups is selected.
iii. Systematic sampling: Systematic sampling is a statistical method involving the selection of elements from an ordered sampling frame. The most common form of systematic sampling is an equiprobability method. In this approach, progression through the list is treated circularly, with a return to the top once the end of the list is passed.
iv. Multi-stage sampling: Multistage sampling
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Description
In statistics, multistage sampling is the taking of samples in stages using smaller and smaller sampling units at each stage. Multistage sampling can be a complex form of cluster sampling because it is a type of sampling which involves dividing the population into groups.2. Non-probability sampling:
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Description
Sampling is the use of a subset of the population to represent the whole population or to inform about processes that are meaningful beyond the particular cases, individuals or sites studied.Non-probability sampling is a sampling technique where the odds of any member being selected for a sample cannot be calculated. In addition, probability sampling involves random selection, while non-probability sampling does not–it relies on the subjective judgement of the researcher.
Examples of nonprobability sampling include: Convenience, haphazard or accidental sampling – members of the population are chosen based on their relative ease of access. Snowball sampling – The first respondent refers an acquaintance. The friend also refers a friend, and so on.
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