Final answer:
Partial sampling is a discontinuous measurement procedure in which data is collected by observing only a portion of the population or sample. For example, instead of measuring the height of every student in a school, you could randomly select a group of students and measure their heights.
Step-by-step explanation:
Discontinuous measurement procedures involve collecting data using methods that do not involve continuous observation or measurement. In partial sampling, data is collected by observing only a portion of the population at a given time. This method involves selecting a subset of the population or sample to observe or measure, rather than observing the entire population.
For example, let's say you want to collect data on the heights of students in a school. Instead of measuring the height of every student, you could use partial sampling and measure the heights of only a randomly selected group of students. This subset of students would represent the sample from which you collect data.