Industrial Psychiatry Journal · 2009 · 435 citations · 0 references
Natural SciencesBiostatisticsEvidence-based PracticeStatisticsTest ConstructionHypothesis FormulationHypothesis TestingInferential StatisticsStatistical AnalysisStatistical InferenceStatistical SignificanceOne-sided Hypothesis TestsStatistical TestingTwo-sided Hypothesis TestsType I ErrorType I Error RateType Ii ErrorType Ii Error AnalysisType Ii Error Rate
Hypothesis testing is an important activity of empirical research and evidence-based medicine. A well worked up hypothesis is half the answer to the research question. For this, both knowledge of the subject derived from extensive review of the literature and working knowledge of basic statistical concepts are desirable. The present paper discusses the methods of working up a good hypothesis and statistical concepts of hypothesis testing.