In: Statistics and Probability
(CO 1) To gather information on customer satisfaction, a researcher goes into the local store and interviews six randomly selected customers. This sampling technique is called:
Cluster |
Stratified |
Convenience |
Random |
Cluster sampling refers to a type of samplingmethod . With cluster sampling, the researcher divides the population into separate groups, called clusters. Then, a simple random sample of clustersis selected from the population. The researcher conducts his analysis on data from the sampled clusters.
Stratified sampling is a type of sampling method in which the total population is divided into smaller groups or strata to complete the sampling process. After dividing the population into strata, the researcher randomly selects the sample proportionally.
Convenience sampling is a non-probability sampling technique where subjects are selected because of their convenient accessibility and proximity to the researcher.
Random sampling refers to a variety of selection techniques in which samplemembers are selected by chance, but with a known probability of selection.
Based on above definition here researcher uses convenience sampling.