alternative hypothesis

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alternative hypothesis

[ȯl¦tər·nət·iv hī′päth·ə·səs]
(statistics)
Value of the parameter of a population other than the value hypothesized or believed to be true by the investigator.
References in periodicals archive ?
These tests follow the same null and alternative hypotheses and the null hypothesis states that panel series are nonstationary whereas alternative hypothesis states that at least one panel series is stationary.
The result showed a high consistency (Internal) and the results of the regression analysis, which was conducted right after ascertaining the fact that the analyzed variables were reliable provided an accrued support towards the proposed alternative hypotheses.
Clinical trial research is constructed from clearly defined null and alternative hypotheses, so the use of a p -value for hypothesis testing is appropriate.
In the penultimate section of this paper, we discuss the performance of our test statistic under alternative hypotheses that deviate from the Gaussian null hypothesis including alternatives distributions that are asymptotically tail independent and thereby exclude systemic risk.
alpha]] are the notations that indicate the null and alternative hypotheses, respectively.
05 tells us the null-hypotheses is rejected in 95 out of 100 times the experiment is repeated in the same sample and, as a consequence, we claim that the alternative hypotheses is true, that is, the physiotherapy treatment works
Several alternative hypotheses have been put forward, including formation like a mini binary star system.
This proposal is contrasted with the alternative hypotheses of unidirectional geological influence on life and mutual influence that may or may not conduce to maintenance of life.
There are now, based on genetic evidence, three alternative hypotheses for the origin of dogs,'' said Robert Wayne of the University of California, Los Angeles, a study author.
If we are to make progress in the struggle against obesity and its related chronic diseases, he believes we must accept the existence of alternative hypotheses of obesity, refuse to accept substandard science, and find the willingness and the resources to do better.
The main advantage of this test is that it allows explicitly structural breaks under both the null and alternative hypotheses.

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