How can publication bias affect the interpretation of null hypothesis testing results?

Feb 4, 2014 ... Title:Null hypothesis significance tests: A mix-up of two different theories, the basis for widespread confusion and numerous misinterpretations. A hypothesis test formally tests if the population the sample represents is normally-distributed. The null hypothesis states that the population is normally ... Originally created in collaboration with the Center for Biomedical Research Transparency, the online Null Hypothesis Collection highlights important and ... Mar 14, 2017 ... Using the null hypothesis forces people to see that doing nothing is still a choice. It shows, very powerfully, the consequences of failing to ... But when doing hypothesis testing, in practice the null hypothesis is almost always taken to be a “point null”, that is, a hypothesis that a parameter is equal ... Nov 20, 2022 ... Null hypotheses will often include negative phrases such as “no effect,” “no change,” or “no difference.” The null hypothesis in the colloquial sense is a claim that we want to put to the test. It is usually the default, inherited state of matters, or a state of ... In the “regular" case, the minimax rate is equal to n−1/4 n − 1 / 4 while in the “irregular” case, the rate depends on the smoothness class and is slower than ... Apr 19, 2018 ... Browse Dictionary Browse By a Browse By b Browse By c Browse By d Browse By e Browse By f Browse By g Browse By h Browse By i Browse By j Browse By k noun : a statistical hypothesis to be tested and accepted or rejected in favor of an alternative; specifically : the hypothesis that an observed difference