Biology Forums - Study Force

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

Question 2

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 3

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 4

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 5

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.

Question 6

When stratifying the population, the characteristics should be as:
 a. close in value as possible within each strata.
  b. far apart in value as possible between any two strata.
  c. far apart in value as possible within each strata.
  d. Both b and c.
  e. Both a and b.

Question 7

One goal of stratified sampling plans is to decrease the amount of variability in each stratum. This can be accomplished by:
 a. making the strata internally heterogeneous.
  b. increasing the amount of sampling error.
  c. decreasing the magnitude of the overall sample mean.
  d. making the strata internally homogeneous.
  e. using a 99 confidence level instead of a 95 confidence level.

Question 8

The differences between a cluster sample and a stratified sample are in a:
 a. cluster sample, the parent population is divided into mutually exclusive and exhaustive subsets.
  b. stratified sample, the parent population is divided into mutually exclusive and exhaustive subsets.
  c. stratified sample, a simple random sample of elements is chosen independently from each group or subset, while in a cluster sample, a random sample of the subsets is selected.
  d. cluster sample, a simple random sample of elements is chosen independently from each group or subset, while in a stratified sample, a random sample of the subsets is selected.
  e. None of the above.

Question 9

Which of the following is TRUE?
 a. When sampling from a population that is highly skewed, a cluster sample generally provides the most representative sample.
  b. Stratified sampling is a very useful sampling technique. It allows closer examination of the characteristics of particular subgroups. It also lowers the chance of error by ensuring that subgroups are adequately represented in the sample. However, this method generally produces less precise estimates of population values than simple random samples.
  c. In calculating the standard error of the mean when using a stratified sample, one finds that differences among strata means do not enter the estimate.
  d. When using proportional allocation in stratified random sampling, one samples from each of the strata in proportion to their respective variabilities.
  e. The sampling distribution of means for stratified sampling is generally less concentrated than that obtained from simple random sampling.

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