Editing Alternative hypothesis (section)

==History==
The concept of an alternative hypothesis in testing was devised by [[Jerzy Neyman]] and [[Egon Pearson]], and it is used in the [[Neyman–Pearson lemma]]. It forms a major component in modern statistical hypothesis testing. However it was not part of [[Ronald Fisher|Ronald Fisher's]] formulation of statistical hypothesis testing, and he opposed its use.<ref name="Cohen">{{cite journal |author-link=Jacob Cohen (statistician) |last=Cohen |first=J. |s2cid=7180431 |year=1990 |title=Things I have learned (so far) |journal=American Psychologist |volume=45 |issue=12 |pages=1304–1312 |doi=10.1037/0003-066X.45.12.1304 |url=http://revistas.um.es/analesps/article/view/28521 |url-access=subscription }}</ref> In Fisher's approach to testing, the central idea is to assess whether the observed dataset could have resulted from chance if the null hypothesis were assumed to hold, notionally without preconceptions about what other models might hold.{{citation needed|date=October 2011}} Modern statistical hypothesis testing accommodates this type of test since the alternative hypothesis can be just the negation of the null hypothesis.