Pdf distribuciones estadisticas con matlab edison david. To evaluate the pdfs of multiple distributions, specify mu and sigma using arrays. Expresiones algebraicas math symbolic funciones especiales. Analisis estadistico en matlab by cristian gil issuu. If one or more of the input arguments x, mu, and sigma are arrays, then the array sizes must be the same. This matlab function returns the probability density function pdf of the standard normal distribution, evaluated at the values in x. Normal probability density function matlab normpdf. Distribucion normal en estadisticas web y empresas. Poisson probability density function matlab poisspdf. Comandos en matlab variables aleatorias continuas distribucion normal.
Mean of the normal distribution, specified as a scalar value or an array of scalar values. Statistics and machine learning toolbox also offers the generic function pdf, which supports various probability distributions. Guia 7 ejercicios en matlab estadistica descriptiva duration. To use pdf, specify the probability distribution name and its parameters. To evaluate the pdf at multiple values, specify x using an array. Alternatively, create a poissondistribution probability distribution object and pass the object as an input argument. Las siguientes propiedades son comunes a todas las distribuciones normales. Feb 01, 2016 for the love of physics walter lewin may 16, 2011 duration. To use pdf, create a normaldistribution probability distribution object and pass the object as an input argument or specify the probability distribution. Normal probability density function matlab normpdf mathworks. The usual justification for using the normal distribution for modeling is the central limit theorem, which states roughly that the sum of independent samples from any distribution with finite mean and variance converges to the normal distribution as the. The normal distribution, sometimes called the gaussian distribution, is a twoparameter family of curves.
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