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List and briefly describe the steps in the sampling process. Compare and contrast probability and non-probability sampling methods and briefly explain each method used with examples.

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Final answer:

The steps in the sampling process include defining the population, selecting a sampling method, determining the sample size, listing the sampling frame, selecting the sample, collecting and analyzing data, and making inferences. Probability sampling methods involve random selection, while non-probability sampling methods do not.

Step-by-step explanation:

The steps in the sampling process are as follows:

  1. Define the population
  2. Select a sampling method
  3. Determine the sample size
  4. List the sampling frame
  5. Select the sample
  6. Collect data from the sample
  7. Analyze the data
  8. Make inferences about the population

Probability sampling methods involve a chance process for selecting a sample in which each member of the population has a known and equal chance of being included. Examples include simple random sampling, stratified sampling, and cluster sampling. Non-probability sampling methods do not involve a random selection process and may result in biased samples. Examples include convenience sampling and quota sampling.

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