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Sample Mean and Sample Covariance
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High Quality Content by WIKIPEDIA articles! A sample is a subject chosen from a population for investigation. A random sample is one chosen by a method involving an unpredictable component. Random sampling can also refer to taking a number of independent observations from the same probability distribution, without involving any real population. A probability sample is one in which each item has a known probability of being in the sample. The sample usually will not be completely representative of the population from which it was drawn this random variation in the results is known as sampling error. In the case of random samples, mathematical theory is available to assess the sampling error. Thus, estimates obtained from random samples can be accompanied by measures of the uncertainty associated with the estimate. This can take the form of a standard error, or if the sample is large enough for the central limit theorem to take effect, confidence intervals may be calculated.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09786130333898
- Editor Lambert M. Surhone, Miriam T. Timpledon, Susan F. Marseken
- Sprache Englisch
- Größe H220mm x B150mm x T5mm
- Jahr 2010
- EAN 9786130333898
- Format Fachbuch
- ISBN 978-613-0-33389-8
- Titel Sample Mean and Sample Covariance
- Untertitel Sample Mean and Sample Covariance, Statistic, Statistics Disambiguation, Function Mathematics, Statistical Parameter, Random Sample
- Gewicht 147g
- Herausgeber Betascript Publishers
- Anzahl Seiten 88
- Genre Mathematik
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