what is sampling describe different method of sampling
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There are two types of sampling methods: Probability sampling involves random selection, allowing you to make strong statistical inferences about the whole group. Non-probability sampling involves non-random selection based on convenience or other criteria, allowing you to easily collect data.
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The sampling and its methods are described below:
- Sampling is a statistical analysis technique that involves selecting representative units or batches from the entire population for the purposes of examining various parameters.
- The following are the sampling methods:
1. Probability sampling:
- In this method, randomness is used to choose samples for evaluation, and each unit has an equal chance of being chosen.
- Simple random sampling, stratified sampling, and systematic sampling are all examples.
2. Non-probability sampling:
- This approach selects samples based on specified criteria, thus each unit does not have an equal chance of being sampled.
- Convenience sampling, quota sampling, and judgement sampling are all examples of this type of sample.
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