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Title: The sampling distribution of a statistic refers to the:
Post by: LITTYMEMPHIS on Mar 2, 2018
The sampling distribution of a statistic refers to the:
 a. distribution of all possible sample values of the statistic that could be drawn from the parent population under the specified sampling plan.
  b. distribution of the variable in the parent population.
  c. distribution of the variable in a particular sample.
  d. spread of the variable in the parent population.
  e. unbiased nature of most sample statistics.

Question 2

Which of the following is NOT TRUE for simple random sampling?
 a. Each element has a known chance of being selected.
  b. Each element has a nonzero chance of being selected.
  c. Each element has an equal chance of being selected.
  d. Each combination of n population elements has an equal chance of being selected.
  e. All of the above are true statements.

Question 3

A parameter represents:
 a. the geographical boundary of a population.
  b. certain characteristics of a random sample.
  c. fixed characteristics of a population.
  d. fixed characteristics of a nonprobability sample.
  e. an unbiased estimator of the population mean.

Question 4

The distinguishing features of a simple random sample are:
 a. each population element has a known chance of being selected.
  b. each population element has an equal chance of being selected.
  c. every combination of n population elements is a sample possibility.
  d. Both a and b.
  e. a, b, and c.

Question 5

Which of the following regarding probability samples is FALSE?
 a. Evaluation of the precision of a sample result is important to most researchers and therefore they seek to use probability samples whenever possible.
  b. In general, probability sampling requires personnel who are more skilled and experienced than nonprobability sampling.
  c. Probability samples will usually cost substantially more than a nonprobability sample of the same size on a per observation basis.
  d. One real advantage that probability samples have over nonprobability samples is their greater economic efficiency.
  e. Elements of the sample are selected objectively.

Question 6

A researcher wants to be able to assess the amount of sampling error associated with an estimate. Which of the following sampling methods would you recommend he use?
 a. Convenience
  b. Quota
  c. Nonprobability
  d. Probability
  e. Judgment

Question 7

A problem with nonprobability samples is:
 a. they are always more representative than nonprobability samples.
  b. one cannot assess the amount of sampling error likely to occur.
  c. there is no problem with using nonprobability samples
  d. Both a and b.
  e. None of the above.


Title: The sampling distribution of a statistic refers to the:
Post by: sdfasdf789 on Mar 2, 2018
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