Estadistica Practica Para Ciencia De Datos Y Python High Quality May 2026

from scipy import stats

from sklearn.linear_model import LinearRegression from sklearn.model_selection import train_test_split from scipy import stats from sklearn

# Realizar un intervalo de confianza intervalo_confianza = stats.norm.interval(0.95, loc=media_muestra, scale=sigma / np.sqrt(n)) scale=sigma / np.sqrt(n))