Inductive reasoning

=== Prediction ===
An inductive prediction draws a conclusion about a future, current, or past instance from a sample of other instances. Like an inductive generalization, an inductive prediction relies on a data set consisting of specific instances of a phenomenon. But rather than conclude with a general statement, the inductive prediction concludes with a specific statement about the [[probability]] that a single instance will (or will not) have an attribute shared (or not shared) by the other instances.<ref>{{Cite journal|last=Romeyn|first=J. W.|date=2004|title=Hypotheses and Inductive Predictions: Including Examples on Crash Data|journal=Synthese|volume=141|issue=3|pages=333–64|doi=10.1023/B:SYNT.0000044993.82886.9e|jstor=20118486|s2cid=121862013|url=https://pure.rug.nl/ws/files/2720641/romeijn_-_hypotheses_and_predictions.pdf|access-date=22 August 2020|archive-date=24 October 2020|archive-url=https://web.archive.org/web/20201024141846/https://pure.rug.nl/ws/files/2720641/romeijn_-_hypotheses_and_predictions.pdf|url-status=live}}</ref>

: Proportion Q of observed members of group G have had attribute A.
: Therefore, there is a probability corresponding to Q that other members of group G will have attribute A when next observed.