Final answer:
Discontinuous data collection is achieved through sampling. It's applicable when obtaining data on the quantitative discrete number of times per week residents use a local park, using a systematic sampling method.
Step-by-step explanation:
Discontinuous data collection involves using sampling to gather observations at specific intervals rather than constantly. This type of data collection is often used when constant observation is not practical or necessary. For instance, in a study to determine the usage of a local park, if you wanted to know the number of times per week residents used the park, you would classify this data as quantitative discrete because it involves counting whole numbers of times the park is visited. The sampling method used in this scenario, where the resident of every eighth house was interviewed, is systematic sampling.