# statistics GCU Essay

2632 Words Jan 9th, 2014 11 Pages
WEEK FOUR
DQ1
Explain the importance of random sampling. What problems/limitations could prevent a truly random sampling and how can they be prevented?
Probability sampling, also known as random sampling, requires that every member of the study population have an equal opportunity to be chosen as a study subject. For each member of the population to have an equal opportunity to be chosen, the sampling method must select members randomly. Probability sampling allows every facet of the study population to be represented without researcher bias. Four common sampling designs have been developed for selection of a random sample: simple random sampling, stratified random sampling, cluster sampling, and systematic sampling (Burns & Grove,
An example would be a group of nursing students at different local schools and choosing a few from each school to create a comprehensive study group.
Cluster sampling: A population is divided into “clusters”, and one whole “cluster” is chosen. An example could be taking each floor of a hospital and call them a cluster, then the whole third floor is chosen to evaluate housekeeping efforts.
Random sample: Each person selected with no particular commonality considered. An example is walking through the downtown area randomly asking the community to take a survey.
Simple random sample: There is a group of people put together but have equal odds of being selected. An example is if we were leaving GCU campus and the safety patrol began to ask the students how they felt about safety.
Jan 9th 8:08pm
Carrie,
Great response to the original posting, I agree that even in the example of simple random sampling there could be some example of basis such as age, ethnicity, religion, and educational background. It appears that every option for choosing a sample of individuals has pro’s and con’s for each. I am certainly going to think about articles differently now after learning how the participants are chosen.
Jan 10th 07:28 a
Victor,
Thank you for your response, I would have to agree with you that it is nearly impossible to study the entire population that you are interested in. I believe the largest flaw with this sort of selection is there is a larger

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