Statistical Inference Task

A Statistical Inference Task is an inference task that is a statistical task (which requires a statistical inference that is based on a population sample).

• Context:
  • Input: a Random Population Sample.
  • output: a Statistical Inference.
  • It can be solved by a Statistical Inference System (that implements a statistical inference algorithm).
• Example(s):
  • The likelihood of the next coin toss being heads is 50.5%.
  • The document topics in an unannotated corpus.
  • a Statistical Hypothesis Testing Task.
  • …
• Counter-Example(s):
  • Logical Inferencing.
  • Descriptive Statistics.
• See: Statistical Inference Algorithm, Probability Distribution, Statistical Population, Sampling (Statistics).

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References

2016

• (Wikipedia, 2016) ⇒ https://en.wikipedia.org/wiki/Statistical_inference Retrieved:2016-8-3.
  • Statistical inference is the process of deducing properties of an underlying distribution by analysis of data. Inferential statistical analysis infers properties about a population: this includes testing hypotheses and deriving estimates. The population is assumed to be larger than the observed data set; in other words, the observed data is assumed to be sampled from a larger population.

    Inferential statistics can be contrasted with descriptive statistics. Descriptive statistics is solely concerned with properties of the observed data, and does not assume that the data came from a larger population.

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