Econometriaaplicada.files.wordpress.com



import statistics import numpy as npimport scipy.stats as stats# Estadística Descriptiva Univariadax = [10, 7, 10, 5, 8, 8, 6, 7, 9, 10]y = [11, 10, 12, 6, 10, 7, 9, 10, 11, 10]xm = statistics.mean(x) ym = statistics.mean(y) xmed = statistics.median(x) ymed = statistics.median(y) xmod = statistics.mode(x) ymod = statistics.mode(y) xsd = statistics.stdev(x) ysd = statistics.stdev(y) xv = statistics.variance(x) yv = statistics.variance(y) xsk = stats.skew(x) ysk = stats.skew(y) xk = stats.kurtosis(x) yk = stats.kurtosis(y) print("Promedio de X es :", xm) print("Promedio de Y es :", ym) print("Mediana de X es :", xmed) print("Mediana de Y es :", ymed) print("Moda de X es :", xmod) print("Moda de Y es :", ymod) print("Desviación Estándar de X es :", xsd) print("Desviación Estándar de Y es :", ysd) print("Varianza de X es :", xv) print("Varianza de Y es :", yv) print("Sesgo de X es :", xsk) print("Sesgo de Y es :", ysk) print("Curtosis de X es :", xk) print("Curtosis de Y es :", yk) # Estadística Descriptiva Bivariadacovxy = np.cov(x, y) corrxy = np.corrcoef(x, y)print("Matriz de Varianzas y Covarianzas de X,Y es: ",covxy) print("Matriz de Correlación de X,Y es :", corrxy) # Medidas de posición o locaclización: cuantiles# Cuartilesprint("Cuartil 1 = ", np.quantile(x, .25)) print("Cuantil 2 = Mediana = ", np.quantile(x, .50)) print("Cuartil 3 = ", np.quantile(x, .75)) # Quintilesprint("Quintil 1 = ", np.quantile(x,0.2)) print("Quintil 2 = ", np.quantile(x,0.4)) print("Quintil 3 = ", np.quantile(x,0.6)) print("Quintil 4 = ", np.quantile(x,0.8)) # Decilesprint("Decil 1 = ", np.quantile(x,0.1)) print("Decil 2 = ", np.quantile(x,0.2)) print("Decil 3 = ", np.quantile(x,0.3)) print("Decil 4 = ", np.quantile(x,0.4)) print("Decil 5 = ", np.quantile(x,0.5)) print("Decil 6 = ", np.quantile(x,0.6)) print("Decil 7 = ", np.quantile(x,0.7)) print("Decil 8 = ", np.quantile(x,0.8)) print("Decil 9 = ", np.quantile(x,0.9)) # Percentilesprint("Percentil 1 = ", np.quantile(x,0.01)) print("Percentil 5 = ", np.quantile(x,0.05)) print("Percentil 10 = ", np.quantile(x,0.10)) print("Percentil 25 = ", np.quantile(x,0.25)) print("Percentil 50 = ", np.quantile(x,0.50)) print("Percentil 75 = ", np.quantile(x,0.75)) print("Percentil 90 = ", np.quantile(x,0.90)) print("Percentil 95 = ", np.quantile(x,0.95)) print("Percentil 99 = ", np.quantile(x,0.99)) ................
................

In order to avoid copyright disputes, this page is only a partial summary.

Google Online Preview   Download