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# Generamos una variable aletoria con distribución normal con media 0 y varianza 1 | |
x_normal = np.random.normal(loc=10, # media | |
scale=30, # varianza | |
size=1000) # muestra |
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import numpy as np # cálculos matriciales | |
import scipy.stats as ss # análisis estadístico | |
from scipy.stats import norm # análisis estadístico | |
from scipy import stats # análisis estadistico | |
import statsmodels.api as sm # análisis estadístico | |
import matplotlib.pyplot as plt # análisis gráfico | |
import seaborn as sns # análisis gráfico |
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import numpy as np # cálculos matriciales | |
import scipy.stats as ss # análisis estadístico | |
from scipy.stats import norm # análisis estadístico | |
from scipy import stats # análisis estadistico | |
import statsmodels.api as sm # análisis estadístico | |
import matplotlib.pyplot as plt # análisis gráfico | |
import seaborn as sns # análisis gráfico |
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