This approach, known as classical hypothesis testing, is the most widely used method of statistical inference.
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Statistical hypothesis testing plays an important role in the whole of statistics and in statistical inference.
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Owing to the mechanistic basis of PBPK models, another potential use of PBPK modeling is hypothesis testing.
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Swarm simulations provide numerical and visual results to the researcher allowing both quantitative and intuitive hypothesis testing.
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This can be enough for basic statistical inference ( e . g ., hypothesis testing, confidence intervals ).
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The scientific method involves hypothesis testing.
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Hypothesis testing acts as a filter of statistical conclusions; only those results meeting a probability threshold are publishable.
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Have you read Statistical hypothesis testing?
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Recently, computerised statistical hypothesis testing methods have been developed which are related to both the comparative method and lexicostatistics.
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While null hypotheses often contain explicit or implicit null models, null models are used outside of statistical hypothesis testing.
