Translation components API.

See the Weblate's Web API documentation for detailed description of the API.

GET /api/translations/libo_help-7-6/textscalc01/es/units/?format=api&page=90
HTTP 200 OK
Allow: GET, POST, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

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            "source": [
                "<item type=\"input\">=T.INV.2T(0.25; 10)</item> returns 1.221255395."
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            "target": [
                "<item type=\"input\">INV.T.2C(0,25;10)</item> devuelve 1.221255395."
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                "<bookmark_value>TTEST function</bookmark_value>"
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                "<bookmark_value>PRUEBA.T</bookmark_value>"
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                "TTEST"
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                "<ahelp hid=\"HID_FUNC_TTEST\">Returns the probability associated with a Student's t-Test.</ahelp>"
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                "<ahelp hid=\"HID_FUNC_TTEST\">Calcula la probabilidad asociada con una prueba T de estudiante.</ahelp>"
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                "TTEST(Data1; Data2; Mode; Type)"
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                "PRUEBA.T(Datos1; Datos2; Modo; Tipo)"
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                "<emph>Data1</emph> is the dependent array or range of data for the first record."
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                "<emph>Datos1</emph> es la matriz dependiente o intervalo de datos del primer registro."
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            "source": [
                "<emph>Data2</emph> is the dependent array or range of data for the second record."
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                "<emph>Datos2</emph> es la matriz dependiente o intervalo de datos del segundo registro."
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            "source": [
                "<emph>Mode</emph> = 1 calculates the one-tailed test, <emph>Mode</emph> = 2 the two- tailed test."
            ],
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            "target": [
                "<emph>Modo</emph> = 1 calcula la prueba unilateral, <emph>Modo</emph> = 2 calcula la prueba bilateral."
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            "source": [
                "<emph>Type</emph> is the kind of t-test to perform. Type 1 means paired. Type 2 means two samples, equal variance (homoscedastic). Type 3 means two samples, unequal variance (heteroscedastic)."
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                "<emph>Tipo</emph> es el tipo de prueba t que se va a realizar. Tipo 1 significa pareada. Tipo 2 significa dos muestras, igual varianza (homoscedástica). Tipo 3 significa dos muestras, varianza distinta (heteroscedástica)."
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                "<item type=\"input\">=TTEST(A1:A50;B1:B50;2;2)</item>"
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                "<item type=\"input\">=PRUEBA.T(A1:A50;B1:B50;2;2)</item>"
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            "source": [
                "<bookmark_value>T.TEST function</bookmark_value>"
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                "<bookmark_value>PRUEBA.T.N</bookmark_value>"
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                "T.TEST"
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                "<ahelp hid=\"HID_FUNC_TTEST_MS\">Returns the probability associated with a Student's t-Test.</ahelp>"
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                "<ahelp hid=\"HID_FUNC_TTEST_MS\">Devuelve la probabilidad asociada a la distribución t de Student.</ahelp>"
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            "source": [
                "T.TEST(Data1; Data2; Mode; Type)"
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                "<emph>Data1</emph> is the dependent array or range of data for the first record."
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                "<emph>Datos1</emph> es la matriz o intervalo de datos dependiente del primer registro."
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                "<emph>Data2</emph> is the dependent array or range of data for the second record."
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            "source": [
                "<emph>DegreesFreedom</emph> is the number of degrees of freedom for the t-distribution."
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                "<emph>GradosDeLibertad</emph> es el número de grados de libertad de la distribución t."
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            "source": [
                "<emph>Cumulative</emph> = 0 or FALSE returns the probability density function, 1 or TRUE returns the cumulative distribution function."
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                "<emph>Acumulativa</emph> 0 o Falso devuelve la función de densidad de probabilidad. 1 o Verdadero devuelve la función de distribución acumulativa."
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                "<item type=\"input\">=T.DIST(1; 10; TRUE)</item> returns 0.8295534338"
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                "<item type=\"input\">=DISTR.T.N(1; 10; TRUE)</item> returns 0.8295534338"
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                "<bookmark_value>T.DIST.2T function</bookmark_value>        <bookmark_value>two tailed t-distribution</bookmark_value>"
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                "<bookmark_value>DISTR.T.2C</bookmark_value>         <bookmark_value>distribución t de dos colas</bookmark_value>"
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            "id": 100440392,
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                "T.DIST.2T"
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            "priority": 100,
            "id": 100440394,
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                "<ahelp hid=\"HID_FUNC_TDIST_2T\">Calculates the two-tailed Student's T Distribution, which is a continuous probability distribution that is frequently used for testing hypotheses on small sample data sets.</ahelp>"
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                "<ahelp hid=\"HID_FUNC_TDIST_2T\">Calcula la distribución t bilateral de Student, utilizada frecuentemente para probar hipótesis en conjuntos de datos pequeños.</ahelp>"
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                "T.DIST.2T(Number; DegreesFreedom)"
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            "source": [
                "<emph>Number</emph> is the value for which the t-distribution is calculated."
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                "<emph>Número</emph> es el valor para el cual se calculará la distribución t."
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                "<emph>DegreesFreedom</emph> is the number of degrees of freedom for the t-distribution."
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                "<emph>GradosdeLibertad</emph> es el número de grados de libertad de la distribución t."
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                "<item type=\"input\">=T.DIST.2T(1; 10)</item> returns 0.3408931323."
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                "<item type=\"input\">=DISTR.T.2C(1; 10)</item> returns 0.3408931323."
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                "<bookmark_value>T.DIST.RT function</bookmark_value>        <bookmark_value>right tailed t-distribution</bookmark_value>"
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                "<bookmark_value>DISTR.T.CD</bookmark_value>         <bookmark_value>distribución t de cola derecha</bookmark_value>"
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                "<ahelp hid=\"HID_FUNC_TDIST_RT\">Calculates the right-tailed Student's T Distribution, which is a continuous probability distribution that is frequently used for testing hypotheses on small sample data sets.</ahelp>"
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                "<ahelp hid=\"HID_FUNC_TDIST_RT\">Calcula la distribución t de Student de lateral derecha, que es una distribución de probabilidad continua utilizada frecuentemente para probar hipótesis en conjuntos de datos pequeños.</ahelp>"
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                "T.DIST.RT(Number; DegreesFreedom)"
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                "DISTR.T.CD(Número; GradosdeLibertad)"
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                "<emph>Number</emph> is the value for which the t-distribution is calculated."
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            "source": [
                "<emph>DegreesFreedom</emph> is the number of degrees of freedom for the t-distribution."
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                "<emph>GradosdeLibertad</emph> es el número de grados de libertad de la distribución t."
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