# 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 ?
The results of the null hypothesis condition with eight DIF items are shown in Figure 1.
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.
They found that in 38% of them, the statistically nonsignificant results were interpreted to mean that the null hypothesis was considered true.
We can, however, estimate the probability (p) that observed differences between groups are based on "chance" using the null hypothesis.
The null hypothesis is rejected since a meaningful difference between the yields was seen.
We can only test for the presence of systemic risk by assuming a specific null hypothesis for the distribution of stock returns that precludes systemic risk.
Decision: Since the calculated value is greater than the critical value therefore the null hypothesis is rejected.
10) Hypothesis testing involves setting up a null hypothesis and seeking evidence of whether, based on the observed data, the proposed null hypothesis can be rejected with a particular degree of statistical certainty.
Null Hypothesis Day: We recognize the confounding aspects of the null hypothesis test of statistics; wherein a postulated hypothesis is deemed to be true when the null of the hypothesis is proven to be false (or something like that).

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