Units

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                "NORMSDIST(Number)"
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                "DISTR.NORM.ESTAND(z)"
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                "<emph>Number</emph> is the value to which the standard normal cumulative distribution is calculated."
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                "<emph>Número</emph> es el valor sobre el cual se calcula la distribución acumulativa normal estándar."
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                "<item type=\"input\">=NORMSDIST(1)</item> returns 0.84. The area below the standard normal distribution curve to the left of X value 1 is 84% of the total area."
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                "<item type=\"input\">=DISTR.NORM.ESTAND(1)</item> devuelve 0,84. El área por debajo de la curva de distribución normal estándar a la izquierda del valor X 1 es el 84 % del área total."
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                "<bookmark_value>NORM.S.DIST function</bookmark_value>         <bookmark_value>normal distribution;statistics</bookmark_value>"
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                "<bookmark_value>DISTR.NORM.ESTAND.N</bookmark_value>         <bookmark_value>distribución normal;estadísticas</bookmark_value>"
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                "<ahelp hid=\"HID_FUNC_STD_NORMDIST_MS\">Returns the standard normal cumulative distribution function. The distribution has a mean of zero and a standard deviation of one.</ahelp>"
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                "<ahelp hid=\"HID_FUNC_STD_NORMDIST_MS\">Calcula la función de distribución normal predeterminada acumulativa. La distribución tiene una media de cero y una desviación estándar de uno.</ahelp>"
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                "NORM.S.DIST(Number; Cumulative)"
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                "DISTR.NORM.ESTAND.N(Número; Acumulado)"
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            "source": [
                "<emph>Number</emph> is the value to which the standard normal cumulative distribution is calculated."
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                "<emph>Número</emph> es el valor sobre el cual se calcula la distribución acumulativa normal estándar."
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            "source": [
                "<emph>Cumulative</emph> 0 or FALSE calculates the probability density function. Any other value or TRUE calculates the cumulative distribution function."
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                "<emph>Acumulado</emph> 0 o Falso calcula la función de densidad de probabilidad. Otros valores o Verdadero calcula la función de distribución acumulativa."
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                "<item type=\"input\">=NORM.S.DIST(1;0)</item> returns 0.2419707245."
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                "<item type=\"input\">=DISTR.NORM.ESTAND.N(1;0)</item> devuelve 0.2419707245."
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                "<item type=\"input\">=NORM.S.DIST(1;1)</item> returns 0.8413447461. The area below the standard normal distribution curve to the left of X value 1 is 84% of the total area."
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                "<item type=\"input\">=DISTR.NORM.ESTAND.N(1)</item> devuelve 0,8413447461. El área por debajo de la curva de distribución normal estándar a la izquierda del valor X 1 es el 84 % del área total."
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                "<bookmark_value>SLOPE function</bookmark_value>"
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                "<ahelp hid=\"HID_FUNC_STEIGUNG\">Returns the slope of the linear regression line.</ahelp> The slope is adapted to the data points set in the y and x values."
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                "<ahelp hid=\"HID_FUNC_STEIGUNG\">Calcula la pendiente de la recta de regresión lineal.</ahelp> La pendiente se adapta a los puntos de datos definidos en los valores Y y en los valores X."
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                "SLOPE(DataY; DataX)"
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                "PENDIENTE(DatosY; DatosX)"
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                "<emph>DataY</emph> is the array or matrix of Y data."
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                "<emph>DatosY</emph> es una matriz o tabla de datos Y."
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            "priority": 100,
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            "source": [
                "<ahelp hid=\"HID_FUNC_TINV\">Returns the inverse of the t-distribution.</ahelp>"
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                "<ahelp hid=\"HID_FUNC_TINV\">Calcula el inverso de la distribución t.</ahelp>"
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            "source": [
                "TINV(Number; DegreesFreedom)"
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                "DISTR.T.INV(Número; GradosdeLibertad)"
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            "priority": 100,
            "id": 100440281,
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            "source": [
                "<emph>Number</emph> is the probability associated with the two-tailed t-distribution."
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            "target": [
                "<emph>Número</emph> es la probabilidad asociada con la distribución t bilateral."
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            "priority": 100,
            "id": 100440283,
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            "source": [
                "<emph>DegreesFreedom</emph> is the number of degrees of freedom for the t-distribution."
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            "target": [
                "<emph>GradosdeLibertad</emph> es el número de grados de libertad de la distribución t."
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            "priority": 100,
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            "source": [
                "<item type=\"input\">=TINV(0.1;6)</item> returns 1.94"
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                "<item type=\"input\">=DISTR.T.INV(0,1;6)</item> devuelve 1,94."
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            "source": [
                "<bookmark_value>T.INV function</bookmark_value>        <bookmark_value>one tailed inverse of t-distribution</bookmark_value>"
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                "<bookmark_value>INV.T</bookmark_value>         <bookmark_value>inverso de una cola de distribución t</bookmark_value>"
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            "source": [
                "T.INV"
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                "INV.T"
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            "source": [
                "<ahelp hid=\"HID_FUNC_TINV_MS\">Returns the one tailed inverse of the t-distribution.</ahelp>"
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                "<ahelp hid=\"HID_FUNC_TINV_MS\">Devuelve la inversa de la distribución t unilateral.</ahelp>"
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            "source": [
                "T.INV(Number; DegreesFreedom)"
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                "INV.T(Número; GradosdeLibertad)"
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            "source": [
                "<emph>Number</emph> is the probability associated with the one-tailed t-distribution."
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                "<emph>Número</emph> es la probabilidad asociada con la distribución t unilateral."
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            "source": [
                "<emph>DegreesFreedom</emph> is the number of degrees of freedom for the t-distribution."
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            "target": [
                "<emph>GradosdeLibertad</emph> es el número de grados de libertad de la distribución t."
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            "source": [
                "<item type=\"input\">=T.INV(0.1;6)</item> returns -1.4397557473."
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                "<item type=\"input\">=INV.T(0,1;6)</item> devuelve -1.4397557473."
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            "source": [
                "<bookmark_value>T.INV.2T function</bookmark_value>        <bookmark_value>inverse of two tailed t-distribution</bookmark_value>"
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                "<bookmark_value>INV.T.2C</bookmark_value>         <bookmark_value>inverso de la distribución t de dos colas</bookmark_value>"
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            "priority": 100,
            "id": 100440300,
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            "source": [
                "T.INV.2T"
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                "INV.T.2C"
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            "note": "4ybyR",
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            "priority": 100,
            "id": 100440303,
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            "source": [
                "<ahelp hid=\"HID_FUNC_TINV_2T\">Calculates the inverse of the two-tailed Student's T Distribution </ahelp>, which is a continuous probability distribution that is frequently used for testing hypotheses on small sample data sets."
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                "<ahelp hid=\"HID_FUNC_TINV_2T\">Calcula la inversa de la distribución t bilateral de Student, utilizada frecuentemente para probar hipótesis en conjuntos de datos pequeños.</ahelp>"
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            "priority": 100,
            "id": 100440304,
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            "source": [
                "T.INV.2T(Number; DegreesFreedom)"
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                "INV.T.2C(Número; GradosdeLibertad)"
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