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Statistical inference
1 reference results for: Inferential statistics
Wikipedia
Inferential statistics or statistical induction comprises the use of statistics to make inferences concerning some unknown aspect of a population. It is distinguished from descriptive statistics.
Two schools of inferential statistics are frequency probability and Bayesian inference.
Definition
Statistical inference is inference about a population from a random sample drawn from it or, more generally, about a random process from its observed behavior during a finite period of time. It includes:
- point estimation
- interval estimation
- hypothesis testing (or statistical significance testing)
- prediction
There are several distinct schools of thought about the justification of statistical inference. All are based on some idea of what real world phenomena can be reasonably modeled as probability.
The topics below are usually included in the area of statistical inference.
- Statistical assumptions
- Likelihood principle
- Estimating parameters
- Statistical hypothesis testing
- Revising opinions in statistics
- planning statistical research
- summarizing statistical data
See also
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Last updated on Friday May 09, 2008 at 09:57:13 PDT (GMT -0700)
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This article is licensed under the GNU Free Documentation License.
Last updated on Friday May 09, 2008 at 09:57:13 PDT (GMT -0700)
View this article at Wikipedia.org - Edit this article at Wikipedia.org - Donate to the Wikimedia Foundation
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