# hypothesis

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Related to Null hypothesis: Alternative hypothesis, Hypothesis testing, P value

## hypothesis

a prediction derived from theoretical analysis that is couched in a form precise enough to be subjected to testing against empirical data. In economics, hypotheses are generated by a process of logical deduction from sets of initial assumptions about the behaviour of consumers, producers, etc., and are generally tested by collecting economic data and using statistical techniques to analyse them. This testing can lead to modification of the economic theory in the light of the new economic data or to abandonment of that theory in favour of an alternative theory that better explains the facts. See HYPOTHESIS TESTING.
References in periodicals archive ?
Put differently, we do not reject the null hypothesis that the target month (January) dominates over the non-target month, as the p-values for the first and third order of SD are greater than any acceptable level of significance except for the SD1 of February, where it is 0.007.
In a second much larger study that included 686 patients, the statistical analysis did not show a significant difference in skin damage from radiation so the null hypothesis, the curcumin did not help, stands.
Tables 4 and 5 clearly show that that the null hypothesis of the unit root can be firmly rejected at the 1% significance level using the two test specifications (trend and no trend).
Our objective is to compare the decisions about the null hypothesis by using the p-value at different classically applied cut-offs with the BIC-based and p-value based Bayes factors described above (we are not interested in the epistemological discussion about the truth of the null hypothesis but the interested reader can find some reflections about it in Cohen, 1994; Gallistell, 2009, or Orlitzky, 2013).
Therefore, it becomes more difficult to reject the null hypothesis if the margin of clinical significance [delta] is set higher.
Therefore, a maximum value of 1.03 (the largest value for [chi square]/df in the null hypothesis condition where there was no DIF) for this value should indicate perfect fit to the Racsh model.
Therefore on the basis of this finding the null hypothesis that there is no significant difference of morale of social sciences, management sciences and computer sciences university teachers is rejected and it can be said that there is a significant impact of faculties on the morale of university teachers.
In contrast, as noted above, naively evaluating each of [N.sub.0] = 100 independent tests having true null hypotheses at the [[alpha].sub.0] = 0.05 level (i.e., ignoring the multiple-testing problem) results in a 0.994 probability that at least one true null hypothesis is erroneously rejected.
H0: Null Hypothesis; there is no significant difference in the total taxes as percentage of GDP over the three periods.
This statistical procedure only tests the null hypothesis. It does not reveal anything about the size of the difference or magnitude of the difference, so readers cannot tell exactly how likely someone with CPNB is to fall.
The trace test statistic computed for this study under the null hypothesis is that there are at most r cointegrating vectors and the model applied is the following:

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