In an increasingly data-driven world, it is more important than ever for students as well as professionals to better understand basic statistical concepts. 100 Questions (and Answers) About Statistics addresses the essential questions that students ask about statistics in a concise and accessible way. It is perfect for instructors, students, and practitioners as a supplement to more comprehensive materials, or as a desk reference with quick answers to the most frequently asked questions.

How Do a Sample and a Population Differ From One Another?

How Do a Sample and a Population Differ From One Another?

One of the major functions that inferential statistics plays is to allow testing of a hypothesis with a sample and then using the results from that sample to infer how well they apply to a population. A sample is simply a subset of a population. The idea of using a sample rather than a population has some very sound reasoning behind it.

Since a sample is smaller, assessing some outcome requires fewer resources such as money, personnel, facilities, and so forth. For example, if we are interested in the height of sixth graders in a large, urban school district with 10,000 sixth graders, we could (if we do so correctly) measure only 100 or ...

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