hypothesis

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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.
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One implication of this equation is that, unless [N.sub.0] is relatively small, erroneously rejecting at least one of the true null hypotheses is nearly certain: for example, if [alpha] = 0.05 and [N.sub.0] = 100 this probability is 0.994.
"The stippling shows statistically significant grid points": how research results are routinely overstated and overinterpreted, and what to do about it
With or without a theory, hypotheses suggest an explanation that is logical and feasible.
Research questions and hypotheses
Regarding the question this study is trying to answer and also the background of study, 5 hypotheses are assumed for this study:
The study of non-familiarity of Iranian Association of Certified public Accountants with IT in auditing (computer auditing)
I will devote future articles to specific ideas and techniques to help break the participation barriers delineated in the subcultural, marginality, and discrimination hypotheses. But first, it is important to know which barriers are affecting participation at your site.
What's going on
The Bayesian approach starts with stating the hypotheses (or states) to be compared and the prior probabilities of each.
Hypothesis testing: a look at two common approaches: depending upon the situation, either classical or Bayesian testing may be the better choice
Statistical linear multiple regression method is utilized to test the hypotheses and specifies Model 1 and Model 2.
Empirical study on African energy resources and China's outflow foreign direct investment
The statistical approach that is specifically designed to assess the overall weight of evidence for or against a hypothesis, and to compare competing hypotheses, is known as Bayesian statistics.
Bayesian statistics: how to quantify uncertainty
The hypothesis as a framework was in turn explicitly rejected by Isaac Newton, a Baconian, despite the fact that the first edition of Newton's Principia had been organized around hypotheses (4).
A critique of the hypothesis, and a defense of the question, as a framework for experimentation
and the type of information provided by tests of hypotheses (Bonett and
Using confidence intervals in supply chain and operations research
This ability is most challenging because the students have to carry out independent investigations, including how to formulate and test hypotheses. By examining examples taken from the student reports, this study aims at identifying students' problems in understanding the concept of hypothesis formulation and testing.
Biology students' understanding of the concept of hypothesis
Performance measures on functional hypotheses and treatment decisions were analyzed in terms of frequency of first-attempt correct functional hypothesis and treatment selection.
Case difficulty of simulation software
There are usually two kinds of hypotheses used in internal investigations: working hypotheses and final hypotheses.
Investigating on-site incidents and accidents; Excerpted from the new book Investigations in Long-Term Care Facilities: Implementing a Standardized Model

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