Translation components API.

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

GET /api/translations/libo_help-7-6/textscalc01/ast/units/?format=api&page=79
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Content-Type: application/json
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                "<emph>Sigma</emph> (optional) is the known standard deviation of the population. If omitted, the standard deviation of the given sample is used."
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                "See also the <link href=\"https://wiki.documentfoundation.org/Documentation/How_Tos/Calc:_ZTEST_function\">Wiki page</link>."
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                "<ahelp hid=\"HID_FUNC_Z_TEST_MS\">Calculates the probability of observing a z-statistic greater than the one computed based on a sample.</ahelp>"
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                "<item type=\"input\">=Z.TEST(A2:A20; 9; 2)</item> returns the result of a z-test on a sample A2:A20 drawn from a population with known mean 9 and known standard deviation 2."
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                "HARMEAN(<embedvar href=\"text/scalc/01/ful_func.xhp#number255_1\" markup=\"keep\"/>)"
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                "<item type=\"input\">=HARMEAN(23;46;69)</item> = 37.64. The harmonic mean of this random sample is thus 37.64"
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                "<ahelp hid=\"HID_FUNC_HYPGEOMVERT\">Returns the hypergeometric distribution.</ahelp>"
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                "<emph>X</emph> is the number of results achieved in the random sample."
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                "<emph>NSample</emph> is the size of the random sample."
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                "<emph>Successes</emph> is the number of possible results in the total population."
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                "<emph>NPopulation </emph>is the size of the total population."
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                "<emph>Cumulative </emph> (optional) specifies whether to calculate the probability mass function (FALSE or 0) or the cumulative distribution function (any other value). The probability mass function is the default if no value is specified for this parameter."
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                "<item type=\"input\">=HYPGEOMDIST(2;2;90;100)</item> yields 0.81. If 90 out of 100 pieces of buttered toast fall from the table and hit the floor with the buttered side first, then if 2 pieces of buttered toast are dropped from the table, the probability is 81%, that both will strike buttered side first."
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            "source": [
                "<emph>X</emph> is the number of results achieved in the random sample."
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                "<emph>X</emph> ye'l númberu de resultancies llograes na amuesa aleatoria."
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            "source": [
                "<emph>NSample</emph> is the size of the random sample."
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                "<emph>ExempluN</emph> ye'l tamañu del exemplu aleatoriu."
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            "source": [
                "<emph>Successes</emph> is the number of possible results in the total population."
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                "<emph>Ésitos</emph> ye'l númberu de posibles resultaos na población total."
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            "source": [
                "<emph>NPopulation </emph>is the size of the total population."
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                "<emph>PoblaciónN</emph> ye'l tamañu de la población total."
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            "id": 99509577,
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            "source": [
                "<emph>Cumulative </emph>: 0 or False calculates the probability density function. Other values or True calculates the cumulative distribution function."
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                "<emph>Acumulativa</emph> (opcional): 0 o Falsu calcula la función de densidá de probabilidá. Otros valores o Verdaderu o omitíu calcula la función de distribución acumulativa."
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                "<item type=\"input\">=HYPGEOM.DIST(2;2;90;100;0)</item> yields 0.8090909091. If 90 out of 100 pieces of buttered toast fall from the table and hit the floor with the buttered side first, then if 2 pieces of buttered toast are dropped from the table, the probability is 81%, that both will strike buttered side first."
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                "<item type=\"input\">=DISTR.HIPERGEOM(2;2;90;100)</item> da 0,81. Si 90 de cada 100 pieces de tostaes con mantequilla que cayen d'una mesa cayen sobre'l suelu cola parte con mantequilla primeru, entós si cáyense 2 tostaes con mantequilla de la mesa, la probabilidá de que dambes cayan cola parte con mantequilla primero ye del 81%."
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                "<item type=\"input\">=HYPGEOM.DIST(2;2;90;100;1)</item> yields 1."
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                ""
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            "source": [
                "Statistical Functions Part Three"
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            "target": [
                "Funciones estadístiques, tercer parte"
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            "source": [
                "<variable id=\"kl\"><link href=\"text/scalc/01/04060183.xhp\">Statistical Functions Part Three</link></variable>"
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                "<variable id=\"kl\"><link href=\"text/scalc/01/04060183.xhp\">Funciones estadístiques, tercer parte</link></variable>"
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            "source": [
                "<bookmark_value>LARGE function</bookmark_value>"
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                "<bookmark_value>K.ESIMO.MAYOR</bookmark_value>"
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                "LARGE"
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                "<ahelp hid=\"HID_FUNC_KGROESSTE\">Returns the Rank_c-th largest value in a data set.</ahelp>"
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                "<ahelp hid=\"HID_FUNC_KGROESSTE\">Calcula'l valor c de rangu más grande d'un grupu de datos.</ahelp>"
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            "source": [
                "LARGE(Data; RankC)"
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                "K.ESIMO.MAYOR(Datos; Rangu_C)"
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            "source": [
                "<emph>Data</emph> is the cell range of data."
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                "<emph>Datos</emph> ye la estaya de caxelles de datos."
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            "source": [
                "<emph>RankC</emph> is the ranking of the value. If RankC is an array, the function becomes an <link href=\"text/scalc/01/04060107.xhp\">array function</link>."
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                "<input>=LARGE(A1:C50;2)</input> gives the second largest value in A1:C50."
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