Units

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                "<emph>Mean</emph> represents the mean value in the normal distribution."
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                "<emph>Media</emph> es el valor medio de la distribución normal."
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                "<emph>StDev</emph> represents the standard deviation of the normal distribution."
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                "<item type=\"input\">=NORMINV(0.9;63;5)</item> returns 69.41. If the average egg weighs 63 grams with a standard deviation of 5, then there will be 90% probability that the egg will not be heavier than 69.41g grams."
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                "<item type=\"input\">=DISTR.NORM.INV(0,9;63;5)</item> devuelve 69,41. Si un huevo de gallina pesa una media de 63 gramos, con una desviación típica de 5, la probabilidad de que un huevo no pese más de 69,41 gramos es del 90 %."
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                "<bookmark_value>NORM.INV function</bookmark_value><bookmark_value>normal distribution;inverse of</bookmark_value>"
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                "<ahelp hid=\"HID_FUNC_NORMINV_MS\">Returns the inverse of the normal cumulative distribution.</ahelp>"
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                "NORM.INV(Number; Mean; StDev)"
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                "<emph>Number</emph> represents the probability value used to determine the inverse normal distribution."
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                "<emph>Número</emph> representa el valor de probabilidad utilizado para determinar la inversa de la distribución normal."
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                "<emph>Mean</emph> represents the mean value in the normal distribution."
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                "<emph>Media</emph> es el valor medio de la distribución normal."
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                "<emph>StDev</emph> represents the standard deviation of the normal distribution."
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                "<emph>Desviación típica</emph> representa la desviación típica de la distribución normal."
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                "<item type=\"input\">=NORM.INV(0.9;63;5)</item> returns 69.4077578277. If the average egg weighs 63 grams with a standard deviation of 5, then there will be 90% probability that the egg will not be heavier than 69.41g grams."
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                "<item type=\"input\">=INV.NORM(0,9;63;5)</item> devuelve 69,4077578277. Si un huevo de gallina pesa una media de 63 gramos, con una desviación típica de 5, la probabilidad de que un huevo no pese más de 69,41 gramos es del 90 %."
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                "<bookmark_value>NORMDIST function</bookmark_value><bookmark_value>density function</bookmark_value>"
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                "<ahelp hid=\"HID_FUNC_NORMVERT\">Returns the density function or the normal cumulative distribution.</ahelp>"
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                "<ahelp hid=\"HID_FUNC_NORMVERT\">Devuelve la función de densidad o la distribución acumulativa normal.</ahelp>"
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                "NORMDIST(Number; Mean; StDev [; C])"
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                "<emph>Number</emph> is the value of the distribution based on which the normal distribution is to be calculated."
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            "priority": 100,
            "id": 100439475,
            "web_url": "https://translations.documentfoundation.org/translate/libo_help-7-6/textscalc01/es/?checksum=e90fdaa1a607aa7a",
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        {
            "translation": "https://translations.documentfoundation.org/api/translations/libo_help-7-6/textscalc01/es/?format=api",
            "source": [
                "<emph>Mean</emph> is the mean value of the distribution."
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            "target": [
                "<emph>Media</emph> es el valor medio de la distribución."
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            "priority": 100,
            "id": 100439478,
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        },
        {
            "translation": "https://translations.documentfoundation.org/api/translations/libo_help-7-6/textscalc01/es/?format=api",
            "source": [
                "<emph>StDev</emph> is the standard deviation of the distribution."
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            "target": [
                "<emph>Desviación típica</emph> es la desviación típica de la distribución."
            ],
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            "priority": 100,
            "id": 100439480,
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            "url": "https://translations.documentfoundation.org/api/units/100439480/?format=api",
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        {
            "translation": "https://translations.documentfoundation.org/api/translations/libo_help-7-6/textscalc01/es/?format=api",
            "source": [
                "<emph>C</emph> is optional. <emph>C</emph> = 0 calculates the density function, <emph>C</emph> = 1 calculates the distribution."
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                "<emph>C</emph> es opcional. <emph>C</emph> = 0 calcula la función de densidad y <emph>C</emph> = 1 calcula la distribución."
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            "priority": 100,
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            "source": [
                "<item type=\"input\">=NORMDIST(70;63;5;0)</item> returns 0.03."
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            "target": [
                "<item type=\"input\">=DISTR.NORM(70;63;5;0)</item> devuelve 0,03."
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            "id": 100439485,
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            "source": [
                "<item type=\"input\">=NORMDIST(70;63;5;1)</item> returns 0.92."
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                "<item type=\"input\">=DISTR.NORM(70;63;5;1)</item> devuelve 0,92."
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                "<bookmark_value>NORM.DIST function</bookmark_value><bookmark_value>density function</bookmark_value>"
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                "<bookmark_value>función DISTR.NORM.N</bookmark_value><bookmark_value>función de densidad</bookmark_value>"
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                "NORM.DIST"
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                "DISTR.NORM.N"
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            "source": [
                "<ahelp hid=\"HID_FUNC_NORMDIST_MS\">Returns the density function or the normal cumulative distribution.</ahelp>"
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                "<ahelp hid=\"HID_FUNC_NORMDIST_MS\">Devuelve la función de densidad o la distribución acumulada normal.</ahelp>"
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            "source": [
                "NORM.DIST(Number; Mean; StDev; C)"
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                "DISTR.NORM.N(Número; Media; Desv_estándar; C)"
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            "source": [
                "<emph>Number</emph> is the value of the distribution based on which the normal distribution is to be calculated."
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                "<emph>Número</emph> es el valor de la distribución a partir del cual se calculará la distribución normal."
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            "source": [
                "<emph>Mean</emph> is the mean value of the distribution."
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                "<emph>Media</emph> es el valor medio de la distribución."
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            "source": [
                "<emph>StDev</emph> is the standard deviation of the distribution."
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                "<emph>Desviación típica</emph> es la desviación típica de la distribución."
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                "<emph>C</emph> = 0 calculates the density function, <emph>C</emph> = 1 calculates the distribution."
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                "<emph>C</emph> = 0 calcula la función de densidad; <emph>C</emph> = 1 calcula la distribución."
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                "<item type=\"input\">=NORM.DIST(70;63;5;0)</item> returns 0.029945493."
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                "<item type=\"input\">=NORM.DIST(70;63;5;1)</item> returns 0.9192433408."
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                "<bookmark_value>PEARSON function</bookmark_value>"
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                "<ahelp hid=\"HID_FUNC_PEARSON\">Returns the Pearson product moment correlation coefficient r.</ahelp>"
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                "<ahelp hid=\"HID_FUNC_PEARSON\">Calcula el coeficiente de correlación producto o momento r de Pearson.</ahelp>"
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            "source": [
                "PEARSON(Data1; Data2)"
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                "PEARSON(Datos1; Datos2)"
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            "source": [
                "<emph>Data1</emph> represents the array of the first data set."
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                "<emph>Datos1</emph> representa la matriz del primer conjunto de datos."
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            "source": [
                "<emph>Data2</emph> represents the array of the second data set."
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                "<item type=\"input\">=PEARSON(A1:A30;B1:B30)</item> returns the Pearson correlation coefficient of both data sets."
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                "<item type=\"input\">=PEARSON(A1:A30;B1:B30)</item> devuelve el coeficiente de correlación de Pearson de ambos conjuntos de datos."
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            "source": [
                "<bookmark_value>PHI function</bookmark_value>"
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                "PHI"
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                "FI"
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                "<ahelp hid=\"HID_FUNC_PHI\">Returns the value of the probability density function for a given value considering the standard normal distribution.</ahelp>"
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                "<ahelp hid=\"HID_FUNC_PHI\">Devuelve el valor de la función de densidad de probabilidad para un valor dado considerando la distribución normal estándar.</ahelp>"
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            "source": [
                "<input>PHI(Number)</input>"
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                "<input>PHI(Número)</input>"
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            "source": [
                "<emph>Number</emph> is the value for which the probability density function is calculated."
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                "<emph>Número</emph>es el valor que se calcula para la función de densidad de probabilidad."
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            "id": 100439746,
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                "<input>=PHI(2.25)</input> returns 0.0317."
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                "<input>=FI(2.25)</input>devuelve 0.0317."
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                "<input>=PHI(-2.25)</input> also returns 0.0317 because the normal distribution is symmetrical."
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                "<input>=FI(-2.25)</input>también devuelve 0.0317 ya que la distribución normal es simétrica."
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            "source": [
                "<input>=PHI(0)</input> returns 0.3989."
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                "<input>=FI(0)</input>devuelve 0.3989."
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            "source": [
                "Calling <input>PHI(Number)</input> is equivalent to calling <input>NORMDIST(Number,0,1,FALSE())</input> or <input>NORM.S.DIST(Number;FALSE())</input>, hence using the standard normal distribution with mean equal to 0 and standard deviation equal to 1 with the <emph>Cumulative</emph> argument set to <emph>False.</emph>"
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                "Llamar a <input>FI(Número)</input> es equivalente a llamar a<input>.NORMDIST(Número,0,1,FALSO())</input> o <input> NORM.S.DIST(Número; FALSO())</input>, por lo que se utiliza la distribución normal estándar con media igual a 0 y la desviación estándar igual a 1 con la <emph> Acumulada </emph> establecido en <emph> Falso </emph>."
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            "source": [
                "<bookmark_value>POISSON function</bookmark_value>"
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