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2. Survey data collection - Wikipedia

   en.wikipedia.org/wiki/Survey_data_collection

   From Wikipedia, the free encyclopedia. With the application of probability samplingin the 1930s, surveys became a standard tool for empirical researchin social sciences, marketing, and official statistics.[1] The methods involved in survey data collectionare any of a number of ways in which data can be collectedfor a statistical survey.

3. Survey sampling - Wikipedia

   en.wikipedia.org/wiki/Survey_sampling

   The purpose of sampling is to reduce the cost and/or the amount of work that it would take to survey the entire target population. A survey that measures the entire target population is called a census. A sample refers to a group or section of a population from which information is to be obtained. Survey samples can be broadly divided into two ...

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   Explore our AOL Mail product page to learn even more. Start for free. Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!

5. Survey methodology - Wikipedia

   en.wikipedia.org/wiki/Survey_methodology

   Survey methodology is "the study of survey methods". [1] As a field of applied statistics concentrating on human-research surveys, survey methodology studies the sampling of individual units from a population and associated techniques of survey data collection, such as questionnaire construction and methods for improving the number and accuracy of responses to surveys.

6. Sampling (statistics) - Wikipedia

   en.wikipedia.org/wiki/Sampling_(statistics)

   A visual representation of the sampling process. In statistics, quality assurance, and survey methodology, sampling is the selection of a subset or a statistical sample (termed sample for short) of individuals from within a statistical population to estimate characteristics of the whole population. The subset is meant to reflect the whole ...

7. Sampling bias - Wikipedia

   en.wikipedia.org/wiki/Sampling_bias

   Sampling bias. In statistics, sampling bias is a bias in which a sample is collected in such a way that some members of the intended population have a lower or higher sampling probability than others. It results in a biased sample [1] of a population (or non-human factors) in which all individuals, or instances, were not equally likely to have ...