Statistics Sampling Essay

339 Words2 Pages
Explain each sampling technique discussed in the “Visual Learner: Statistics” in your own words, and give examples of when each technique would be appropriate. Convenience Sampling: This is when information collection is obtained with minimal effort. The subjects are close at hand, possibly friends or family of the researcher. Doing this is not a fair or accurate contribution of information. Similar groups will most likely have similar thoughts, feelings, actions and habits. There would not be much variation in the results. Stratified Sample: Is when the test subjects are broken up into different groups and people are randomly picked from those separate groups. Choosing nurses in a facility, separated by the units they worked and comparing skill sets would be an example of this technique. Cluster Sampling: The participants are grouped into clusters and then one cluster is chosen to be queried. Grouping people by generational age or even by income and then choosing one category to study. Such as studying the group of people who have an average income of $40-$50,000/year. Comparing their expenses and debt. Random Sample: This is when everyone has the same opportunity to participate in the study. You could look through a phone book or google a neighborhood to obtain the participants for your study. Simple Random Sample: These are randomly selected participants that are again filtered out a second time. A neighborhood could be chosen at random, each individual and then just the women of that neighborhood would be chosen as participants. Systematic Sampling: When you have a group of subjects and you systemically choose the participants. For example, when teaching the ACLS course. He groups need to be broken up. We count them out into 3 groups, going around the room, we count out to 3, everyone with the number 1 is a
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