⊿ Point. {R} Glossary. ◢ Keyword: S. ◥ University. {q} PhD. {tr} Training. ⚫ UK. ↂ EndNote. ☢️ Volunteer. ☢️ Snowball. ☢️ Sample. ☢️ Representative. ☢️ Quota. ☢️ Purposive. ☢️ NRS. ☢️ Convenience. ☝️ Weerakkody. ✊ La (2004) ✊ Norwich (2019) Sample. From Wikipedia, the free encyclopedia Sample or samples may refer to: People[edit] Places[edit] Sample, Kentucky, unincorporated community, United StatesSampleville, Ohio, unincorporated community, United StatesHugh W. and Sarah Sample House, listed on the National Register of Historic Places in Iowa, United States Music[edit] Other uses[edit] See also[edit] Topics referred to by the same term.
Sampling (statistics) Selection of data points in statistics. Successful statistical practice is based on focused problem definition. In sampling, this includes defining the "population" from which our sample is drawn. A population can be defined as including all people or items with the characteristics one wishes to understand. Because there is very rarely enough time or money to gather information from everyone or everything in a population, the goal becomes finding a representative sample (or subset) of that population. Sometimes what defines a population is obvious. For example, a manufacturer needs to decide whether a batch of material from production is of high enough quality to be released to the customer or should be scrapped or reworked due to poor quality.
Although the population of interest often consists of physical objects, sometimes it is necessary to sample over time, space, or some combination of these dimensions. In other cases, the examined 'population' may be even less tangible.