Statistical Power Analysis
Planning a statistical experiment
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I'm preparing an experiment to detect an [EFFECT_SIZE] effect on [METRIC] with [80/90]% power and a 5% alpha risk. Calculate the required sample size for various possible experimental designs. Generate Python code using scipy.stats and a visualization of the power-sample size curve.
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Pour un design à deux groupes indépendants, utilise `tt_ind_solve_power` de statsmodels (plus flexible que scipy.stats). Ajoute un `effect_size` (Cohen's d) prédéfini et une `ratio` si les groupes sont déséquilibrés. La courbe puissance-effectif devient plus parlante avec `plot_power` de statsmodels.
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