# null hypothesis

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Related to null hypotheses: Alternative hypothesis, P value

## null hypothesis

n.
A hypothesis that is assumed to be true for purposes of statistical testing against an alternative hypothesis. The null hypothesis is usually that there is no treatment effect or no difference between groups.

## null hypothesis

n
(Statistics) statistics the residual hypothesis if the alternative hypothesis tested against it fails to achieve a predetermined significance level. Compare hypothesis testing, alternative hypothesis
Collins English Dictionary – Complete and Unabridged, 12th Edition 2014 © HarperCollins Publishers 1991, 1994, 1998, 2000, 2003, 2006, 2007, 2009, 2011, 2014
Translations
nulová hypotéza
nollahypoteesi
References in periodicals archive ?
Following null hypotheses were made to initiate the research.
That paper also proposed an approach to dealing with and protecting against that problem, which they called assessment of "field significance." The idea was to construct a "metatest" using as input the results of the many individual tests to address the "global" null hypothesis that all individual "local" (e.g., grid point) null hypotheses are true.
Real change will take the concerted effort of experts to enlighten working scientists, journalists, editors and the public at large that statistical significance has been a harmful concept, and that estimation of meaningful effect measures is a much more fruitful research aim than the testing of null hypotheses. This statement of the ASA does not go nearly far enough toward that end, but it is a welcome start and a hopeful sign." (Ken Rothman)
It can be demonstrated with numerical analysis (see appendix B) that this result is true for other null hypotheses, observed shares, and numbers of contests.
The t value for Oil -11.304 and for Bitumen is -8.49 that both are in the region of rejection of null hypotheses. Also under the assumption of variance anisotropy (Because the Leuven test amounts for significance levels for revenue (sum of products of oil and bitumen) is equal to 0.009 and less than 0.05.
In fact, the main pitfalls in using the Neyman-Pearson approach is that researchers usually believe the p value obtained with the statistical testing tell them something about the probability of the null hypotheses and, as a consequence, about the strength of the alternative hypothesis.
Then, the appropriated notation for the null hypotheses 1 and 3 are
(d) No causality exists when both null hypotheses are accepted.
Given the Granger test interpretation rule stated above, we see that we can reject the null hypotheses 2, 4 and 7 and accept all others.
The eight null hypotheses were accepted or rejected on the basis of t-test results.

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