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Roshni411 Roshni411
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Posts: 637
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6 years ago
A researcher is seeking a representative sample (of size n=50) of Fortune magazine's list of the 500 largest industrial corporations. She randomly decides to begin at company number 4 and then select every 10th company until 50 have been selected. The researcher is using what type of sampling plan?
 a. Simple random sampling
  b. Judgment sampling
  c. Systematic sampling
  d. Stratified sampling
  e. Convenience sampling

Question 2

To develop a representative, systematic sample of personal income, the population census
 a. should be ordered at random.
  b. should be ordered from high to low income.
  c. should be ordered from low to high income.
  d. Either b or c is correct.
  e. None of the above.

Question 3

Systematic sampling is a form of
 a. cluster sampling.
  b. stratified sampling.
  c. quota sampling.
  d. convenience sampling.
  e. simple random sampling.

Question 4

Which of the following is TRUE?
 a. In cluster sampling, the parent population is broken into mutually exclusive and exhaustive subgroups and a simple random sample is selected from each subgroup.
  b. Cluster samples are most statistically efficient when the clusters are internally homogeneous.
  c. In order to yield high statistical efficiency, each cluster in a cluster sample should include as many diverse population values as possible.
  d. One of the main advantages of cluster sampling over simple random sampling is its greater statistical efficiency for the same size sample.
  e. Cluster samples are more costly than stratified samples for the same sample size.

Question 5

Statistical efficiency is
 a. a measure of the overall efficiency of a sampling plan.
  b. determined by comparing the standard error of estimate produced by two different sampling plans with equal sample size.
  c. the ease with which sample statistics can be calculated.
  d. a measure of the confidence placed in the estimates of population parameters produced from a particular sample.
  e. only useful in comparing different types of cluster samples.

Question 6

Which of the following types of probability samples does not require a complete list of population elements by name in order to draw the sample?
 a. Stratified sample
  b. Systematic sample
  c. Simple random sample
  d. Cluster sample
  e. Quota sample

Question 7

Which of the following statements is TRUE?
 a. In cluster sampling, the parent population is broken into mutually exclusive and exhaustive subgroups and a simple random sample is selected from each subgroup.
  b. Cluster samples are most statistically efficient when the clusters are internally homogeneous.
  c. In order to yield high statistical efficiency, each cluster in a cluster sample should include as many diverse universe values as possible.
  d. One of the main advantages of cluster sampling over simple random sampling is its greater statistical efficiency for the same size sample.
  e. All of the above statements are false.

Question 8

The distinguishing feature of cluster samples in comparison to other probability sampling plans is that cluster samples
 a. provide each population element with an equal chance of being included in the sample.
  b. provide each population element with a known chance of being included in the sample.
  c. involve the partitioning of the parent population into mutually exclusive and exhaustive subsets.
  d. involve the partitioning of the parent population into mutually exclusive and exhaustive subsets and the probabilistic selection of elements from each subset.
  e. utilize the probabilistic selection of groups rather than elements.

Question 9

Interviewers are told to select a fixed number of men and a fixed number of women from certain city blocks, although the choice of which men and which women is left up to them. This is a
 a. simple random sample.
  b. quota sample.
  c. stratified sample.
  d. cluster sample.
  e. probability sample.
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acocoacoco
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6 years ago
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Roshni411 Author
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6 years ago
Appreciate the effort you put into answering, thank you!
wrote...
6 years ago
You're very welcome
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