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Statistical power in testing a hypothesis
The Journal of Bone and Joint Surgery. British volume, 2010In comparing or assessing methods of treatment it is vital that the appropriate number of patients is selected in order to ensure that the conclusions drawn are statistically viable. This annotation describes the relevance of a statistical power analysis in the context of hypothesis testing to the determination of the optimal sample size of a study ...
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Hypothesis Testing and Statistics
2016Every quantity that is estimated from the data, such as the mean or the variance of a Gaussian variable, is subject to statistical fluctuations of the measurements. For this reason they are referred to as a statistics. If a different sample of measurements is collected, statistical fluctuations will certainly give rise to a different set of ...
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Inferential Statistics for Hypothesis Testing
2020This chapter discusses and illustrates inferential statistics for hypothesis testing. The procedures and fundamental concepts reviewed in this chapter can help to accomplish the following goals: (1) evaluate the statistical and practical significance of the difference between a specific statistic (e.g.
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Statistical Hypothesis Testing
Journal of Wound, Ostomy & Continence Nursing, 2011Susan E, Telke, Lynn E, Eberly
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Understanding Statistical Hypothesis Testing
Journal of Emergency Nursing, 2009openaire +2 more sources
Hypothesis Tests & Statistical Models
1998The heart of classical statistics is hypothesis tests. If you are comparing chemical concentrations between a “background” area and a “potentially contaminated” area, how different do the concentrations in these two areas have to be before you decide that the “potentially contaminated” area is in fact contaminated?
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