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Australian Critical Care, 2009
This article presents a statistical approach called hypothesis testing. This is based upon information collected from a random sample following which results are generalised for the entire population. Some general concepts and terminology of the methodology are briefly described including statistical hypotheses, types of errors, one- or two-tailed ...
Sandra M C, Pereira, Gavin, Leslie
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This article presents a statistical approach called hypothesis testing. This is based upon information collected from a random sample following which results are generalised for the entire population. Some general concepts and terminology of the methodology are briefly described including statistical hypotheses, types of errors, one- or two-tailed ...
Sandra M C, Pereira, Gavin, Leslie
+6 more sources
Testing the Convergence Hypothesis: A Comment [PDF]
In a recent paper Lichtenberg (1994) proposes a test of the convergence hypothesis that the variance of productivity across countries decreases over time. He argues that the ratio of the variance in the first period to that in the last period of the time series is F-distributed bur overlooks the dependency between these two variances. As a consequence,
Martin Carree, Luuk Klomp
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Clinical Nurse Specialist, 1996
Hypothesis testing is the process of making a choice between two conflicting hypotheses. The null hypothesis, H0, is a statistical proposition stating that there is no significant difference between a hypothesized value of a population parameter and its value estimated from a sample drawn from that population. The alternative hypothesis, H1 or Ha, is a
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Hypothesis testing is the process of making a choice between two conflicting hypotheses. The null hypothesis, H0, is a statistical proposition stating that there is no significant difference between a hypothesized value of a population parameter and its value estimated from a sample drawn from that population. The alternative hypothesis, H1 or Ha, is a
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Test of the neutrality hypothesis
Annals of Human Genetics, 1976*Note. Dr Price died unexpectedly in January 1976 while he was working on the Kimura neutral gene hypothesis. He had been investigating methods of programming and using a significance teat, due to W. J. Ewens (1972), and had been applying them to the date on enzyme polymorphisms collected in the Galton Laboratory.
G R, Price, C A, Smith
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Hypothesis Testing: Methodology and Limitations
2001A test is a statistical procedure to obtain a statement on the truth or falsity of a proposition, on the basis of empirical evidence. After a brief historical account, attention is given to the contrasting approaches of R.A. Fisher's significance tests and J.Neyman and E. Pearson's tests of a null against an alternative hypothesis.
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2003
Abstract The previous chapter described confidence intervals, which provide a fundamental strategy for making inferences about population measures of location such as the population mean μ and the population median. About a century after Laplace’s ground breaking work on sampling distributions, a new set of tools was developed for making
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Abstract The previous chapter described confidence intervals, which provide a fundamental strategy for making inferences about population measures of location such as the population mean μ and the population median. About a century after Laplace’s ground breaking work on sampling distributions, a new set of tools was developed for making
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A Test of Lippold's Hypothesis
Archives of Neurology, 1973Direct experimental evidence bearing on the hypothesis that the alpha rhythm is generated by tremor of the extraocular muscles which modulates the corneoretinal potential is presented. The average percent of alpha was continuously measured on a cat during ketamine hydrochloride anesthesia and decamethonium bromide paralysis. Alpha production increased,
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Testing the Convergence Hypothesis
The Review of Economics and Statistics, 1994The authors show that, contrary to the beliefs of some previous analysts of international economic growth, the hypotheses of convergence and of mean-reversion are not equivalent. Under some assumptions, the rate of convergence is independent of the degree of mean-reversion; under other assumptions, mean-reversion is a necessary, but not a sufficient ...
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