A researcher was able to obtain a list of all lung cancer ...

[student77]

A researcher was able to obtain a list of all lung cancer patients in the Southeast.
 
  If a table of random numbers was used to create a sample from that original list and then those individuals agreed to participate in a study, what kind of sample would have been created?
  a. Cluster
  b. Convenience
  c. Simple random
  d. Stratified random

Question 2

A researcher wants to obtain a sample of individuals who are HIV positive. Which of the following sampling methods would be the most effective way to obtain a sample?
 
  a. Accidental sampling
  b. Cluster sampling
  c. Network sampling
  d. Simple random sampling

[izzat]

Answer to Question 1

ANS: C
Simple random sampling is when every member of the population has an equal chance of selection for the sample.
Cluster sampling occurs when a researcher develops a sampling frame that consists of a larger division than the one desired and it is chosen randomly, then subjects from the chosen subsets are selected randomly.
A convenience sample is not a random sample; it is based on any member of the target population that is easily accessible to the researcher.
In a stratified sample, knowledge about characteristics of the population is used to create representativeness.

Answer to Question 2

ANS: C
Network sampling is useful for locating samples difficult or impossible to obtain in other ways. Network sampling takes advantage of social networks and the fact that friends tend to have characteristics in common.
Accidental or convenience sampling would not be likely to yield an adequate sample of HIV-positive individuals.
Cluster sampling would not be the best method for finding the desired sample in this case.
Simple random sampling would not work well because the researcher is looking for a specific subgroup of the general population.

[student77]

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[izzat]

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