Question

3. Explain the types of probability sampling and non-probability sampling. Explain clearly giving examples.

Answer 1

Answer:

Probability sampling is based on the fact that every member of a population has a known and equal chance of being selected. ... With non-probability sampling, those odds are not equal. For example, a person might have a better chance of being chosen if they live close to the researcher or have access to a computer.

For example, if you have a population of 100 people, every person would have odds of 1 in 100 for getting selected. Probability sampling gives you the best chance to create a sample that is truly representative of the population.

Answer 2

Answer:

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