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Answer true or false for each of the following statements: 1

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Answer true or false for each of the following statements:

1. The population is the group about which we want to draw inferences and conclusions, while the sample is the actual group of units from which data is collected.

2. Nonresponse error refers to error, or bias, introduced when responses are not obtained from some members of the sample. When this happens, the sample observations that are collected may not be representative of the population, resulting in bias results.

3. Sampling error refers to the difference between the sample and the population that exists only because of the observations that happened to be selected for the sample.

4. When the population is divided into mutually exclusive sets (e.g. completely separate, non-overlapping sets), and then a simple random sample is drawn from each set, this is called simple random sampling.