Anaes Vivas · Measurement & monitoring physics
Data viva — hypothesis testing, alpha, beta and power
A data viva on the two-distribution diagram of hypothesis testing — the alpha (Type I, false positive, conventionally 0.05), the beta (Type II, false negative, conventionally 0.20), power (1 minus beta, conventionally 0.80), the critical value as the decision threshold, and how moving the threshold or changing the sample size shifts the trade-off. Applied to the emergence-hypertension risk-factor study, the neurological-deterioration risk-prediction study, and the evidence-hierarchies reflection.
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The figure shows two overlapping bell curves. The left curve is the null distribution — the sampling distribution of the result if there were truly no difference between groups. The right curve is the alternative distribution — the sampling distribution if a real treatment effect of a given size exists. A vertical line marks the critical value, the decision threshold. Several regions are shaded. Interpret the figure, naming each shaded region and explaining what it represents.
References5ShowHide
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