055. Chapter Checklist 5

1. Distinguish inferential statistics from descriptive statistics.

2. Define and give an example of a sampling distribution.

3. Define and give an example of sampling error.

4. Explain where the grand mean comes from and how it compares to the population mean.

5. Define and give an example of the standard error of the sampling distribution. Tell why the standard error occurs?

6. Discuss the role of the Central Limit Theorem and its importance to statistical analysis.

7. Discuss the role of the Finite Population Correction Factor and its importance to statistical analysis.

8. Use the concept of a sampling distribution to determine the probability that the sample mean falls within a given range.

9. Explain and give examples of different sampling techniques: ()1 simple random sampling, (2) systematic sampling, (3) stratified sampling, (4) cluster sampling.

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