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In probability sampling, the designer must know:

I. All of the samples that are possible.
II. The probability of each sample being chosen.
III. That all probability samples are random samples.

User Echizzle
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Final answer:

In probability sampling, the designer must know all the possible samples, their probabilities of being chosen, and that they are random samples. Hence, all options are correct.

Step-by-step explanation:

In probability sampling, the designer must know the following:

  1. All of the samples that are possible: This means the designer should have knowledge of all potential samples that can be drawn from the population.
  2. The probability of each sample being chosen: The designer should be aware of the likelihood of selecting each sample. This probability should be determined based on the sampling method used and the characteristics of the population.
  3. That all probability samples are random samples: It is important to recognize that probability samples must be random, meaning each member of the population has an equal chance of being selected.

By understanding these factors, the designer can ensure that the sampling method is appropriate and the sample is representative of the population.

User Awesome
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