Articles related to "Or Rejecting The Null Hypothesis When It Is True"
Before drawing conclusions based on a non-significant hypothesis, test check its statistical power to detect important effects.
classical hypothesis tests evaluate a null hypothesis of ‘no effect’
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the p-value is the probability of getting data at least or more extreme than observed if the null hypothesis were true
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the level of statistical significance is the probability of making a type i error
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or rejecting the null hypothesis when it is true
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statistical power is the probability of detecting a true effect
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