Translation components API.

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

GET /api/translations/libo_help-master/textscalc01/nn/units/?format=api&page=62
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            "source": [
                "The inverse function is GAMMAINV or GAMMA.INV."
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                "Den inverse funksjonen er GAMMAINV eller GAMMA.INV."
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            "source": [
                "<emph>Number</emph> is the value for which the Gamma distribution is to be calculated."
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                "<emph>Tal</emph> er verdien som gammafordelinga skal reknast ut frå."
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            "source": [
                "<emph>Alpha</emph> is the parameter Alpha of the Gamma distribution."
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                "<emph>Alfa</emph> er parameteren alfa for gammafordelinga."
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            "source": [
                "<emph>Beta</emph> is the parameter Beta of the Gamma distribution."
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                "<emph>Beta</emph> er parameteren beta for gammafordelinga."
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                "<item type=\"input\">=GAMMA.DIST(2;1;1;1)</item> yields 0.86."
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                "<item type=\"input\">=GAMMA.FORDELING(2;1;1;1)</item> gjev 0,86."
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            "source": [
                "<bookmark_value>GAUSS function</bookmark_value>         <bookmark_value>normal distribution; standard</bookmark_value>"
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                "<bookmark_value>GAUSS-funksjon</bookmark_value><bookmark_value>normalfordeling; standard</bookmark_value>"
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                "GAUSS"
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                "GAUSS"
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                "<ahelp hid=\"HID_FUNC_GAUSS\">Returns the standard normal cumulative distribution.</ahelp>"
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                "<ahelp hid=\"HID_FUNC_GAUSS\">Returnerer standard kumulativ normalfordeling.</ahelp>"
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                "It is GAUSS(x)=NORMSDIST(x)-0.5"
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                "Det er GAUSS(x)=NORMALFORDELING(x)-0,5"
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                "GAUSS(Number)"
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                "<emph>Number</emph> is the value for which the value of the standard normal distribution is to be calculated."
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                "<emph>Tal</emph> er den verdien standardnormalfordelinga skal reknast ut frå."
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                "<bookmark_value>GEOMEAN function</bookmark_value>         <bookmark_value>means;geometric</bookmark_value>"
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            "source": [
                "<item type=\"input\">=GEOMEAN(23;46;69)</item> = 41.79. The geometric mean value of this random sample is therefore 41.79."
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                "<item type=\"input\">=GJENNOMSNITT.GEOMETRISK(23; 46; 69)</item> = 41,79. Den geometriske middelverdien for denne tilfeldige prøven er 41,79."
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            "source": [
                "<bookmark_value>TRIMMEAN function</bookmark_value>         <bookmark_value>means;of data set without margin data</bookmark_value>"
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                "<bookmark_value>TRIMMA.GJENNOMSNITT-funksjonen</bookmark_value><bookmark_value>middelverdi; av datasett utan marginaldata</bookmark_value>"
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            "source": [
                "TRIMMEAN"
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                "TRIMMA.GJENNOMSNITT (TRIMMEAN på engelsk)"
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            "priority": 100,
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            "source": [
                "<ahelp hid=\"HID_FUNC_GESTUTZTMITTEL\">Returns the mean of a data set without the Alpha percent of data at the margins.</ahelp>"
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            "target": [
                "<ahelp hid=\"HID_FUNC_GESTUTZTMITTEL\">Returnerer gjennomsnittet av eit utval utan å ta med marginalverdiane.</ahelp>"
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            "source": [
                "TRIMMEAN(Data; Alpha)"
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                "TRIMMA.GJENNOMSNITT(Data; Alfa)"
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            "source": [
                "<emph>Data</emph> is the array of data in the sample."
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            "target": [
                "<emph>Data</emph> er datatabellen i utvalet."
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            "source": [
                "<emph>Alpha</emph> is the percentage of the marginal data that will not be taken into consideration."
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                "<emph>Alfa</emph> er prosentdelen av dei marginale data som ikkje skal reknast med."
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                "<item type=\"input\">=TRIMMEAN(A1:A50; 0.1)</item> calculates the mean value of numbers in A1:A50, without taking into consideration the 5 percent of the values representing the highest values and the 5 percent of the values representing the lowest ones. The percentage numbers refer to the amount of the untrimmed mean value, not to the number of summands."
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                "<item type=\"input\">=TRIMMA.GJENNOMSNITT(A1:A50; 0.1)</item>reknar ut gjennomsnittsverdien av tala i området A1:A50 utan å ta omsyn til dei 5 prosent lågaste og dei 5 prosent høgaste verdiane. Prosenttalet refererer til den utrimma verdien, ikkje til talet på addendar."
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            "source": [
                "<bookmark_value>ZTEST function</bookmark_value>"
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                "<bookmark_value>ZTEST-funksjonen</bookmark_value>"
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                "ZTEST"
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                "ZTEST"
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            "source": [
                "<ahelp hid=\"HID_FUNC_GTEST\">Calculates the probability of observing a z-statistic greater than the one computed based on a sample.</ahelp>"
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                "<ahelp hid=\"HID_FUNC_GTEST\">Returnerer den tohala P-verdien av ein z-test med standardfordeling.</ahelp>"
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            "source": [
                "<emph>Data</emph> is the given sample, drawn from a normally distributed population."
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                "<emph>Data</emph> er den aktuelle prøven henta frå ein normalfordelt populasjon."
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            "source": [
                "<emph>mu</emph> is the known mean of the population."
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                "<emph>mu</emph> er den kjende medelverdien for populasjonen."
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            "source": [
                "<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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                "<emph>Sigma</emph> er det kjende standardavviket for populasjonen. Viss du ikkje oppgjev nokon verdi, vert standardavviket til den valde prøven brukt."
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                "<bookmark_value>Z.TEST function</bookmark_value>"
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        },
        {
            "translation": "https://translations.documentfoundation.org/api/translations/libo_help-master/textscalc01/nn/?format=api",
            "source": [
                "<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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            "target": [
                "<ahelp hid=\"HID_FUNC_Z_TEST_MS\">Reknar ut sannsynet for å observera ein z-statistikk større enn den datamaskinen laga, basert på ei prøve.</ahelp>"
            ],
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            "priority": 100,
            "id": 1724119,
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            "url": "https://translations.documentfoundation.org/api/units/1724119/?format=api",
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        },
        {
            "translation": "https://translations.documentfoundation.org/api/translations/libo_help-master/textscalc01/nn/?format=api",
            "source": [
                "<emph>Data</emph> is the given sample, drawn from a normally distributed population."
            ],
            "previous_source": "",
            "target": [
                "<emph>Data</emph> er den aktuelle prøven henta frå ein normalfordelt populasjon."
            ],
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            "context": "04060182.xhp\npar_id2956109\nhelp.text",
            "note": "2peSH",
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            "priority": 100,
            "id": 1724124,
            "web_url": "https://translations.documentfoundation.org/translate/libo_help-master/textscalc01/nn/?checksum=3eee6f3e11455951",
            "url": "https://translations.documentfoundation.org/api/units/1724124/?format=api",
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        },
        {
            "translation": "https://translations.documentfoundation.org/api/translations/libo_help-master/textscalc01/nn/?format=api",
            "source": [
                "<emph>mu</emph> is the known mean of the population."
            ],
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            "target": [
                "<emph>mu</emph> er den kjende medelverdien for populasjonen."
            ],
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            "note": "havEd",
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            "priority": 100,
            "id": 1724126,
            "web_url": "https://translations.documentfoundation.org/translate/libo_help-master/textscalc01/nn/?checksum=a3666891f81184e5",
            "url": "https://translations.documentfoundation.org/api/units/1724126/?format=api",
            "explanation": "",
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            "timestamp": "2019-07-11T17:52:35.119642Z"
        },
        {
            "translation": "https://translations.documentfoundation.org/api/translations/libo_help-master/textscalc01/nn/?format=api",
            "source": [
                "<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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            "target": [
                "<emph>Sigma</emph>(valfri) er det kjende standardavviket for populasjonen. Viss du ikkje oppgjev nokon verdi, vert standardavviket til det valde eksempelet brukt."
            ],
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            "note": "uuVdM",
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            "priority": 100,
            "id": 1724128,
            "web_url": "https://translations.documentfoundation.org/translate/libo_help-master/textscalc01/nn/?checksum=43b207014a7f8381",
            "url": "https://translations.documentfoundation.org/api/units/1724128/?format=api",
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        },
        {
            "translation": "https://translations.documentfoundation.org/api/translations/libo_help-master/textscalc01/nn/?format=api",
            "source": [
                "<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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            "target": [
                "<item type=\"input\">=Z.TEST(A2:A20; 9; 2)</item> returnerer resultatet av ein z-test på prøven A2:A20 teke frå ein populasjon med kjent middelverdi 9 og kjent standardavvik på 2."
            ],
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            "priority": 100,
            "id": 1724131,
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            "url": "https://translations.documentfoundation.org/api/units/1724131/?format=api",
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        },
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            "translation": "https://translations.documentfoundation.org/api/translations/libo_help-master/textscalc01/nn/?format=api",
            "source": [
                "<bookmark_value>HARMEAN function</bookmark_value>         <bookmark_value>means;harmonic</bookmark_value>"
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                "<bookmark_value>GJENNOMSNITT.HARMONISK-funksjonen</bookmark_value>         <bookmark_value>gjennomsnitt; harmonisk</bookmark_value>"
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            "priority": 100,
            "id": 1724133,
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            "url": "https://translations.documentfoundation.org/api/units/1724133/?format=api",
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        },
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            "source": [
                "HARMEAN"
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            "target": [
                "GJENNOMSNITT.HARMONISK (HARMEAN på engelsk)"
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            "priority": 100,
            "id": 1724135,
            "web_url": "https://translations.documentfoundation.org/translate/libo_help-master/textscalc01/nn/?checksum=0936e6f33a9f6bc4",
            "url": "https://translations.documentfoundation.org/api/units/1724135/?format=api",
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        },
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            "translation": "https://translations.documentfoundation.org/api/translations/libo_help-master/textscalc01/nn/?format=api",
            "source": [
                "<ahelp hid=\"HID_FUNC_HARMITTEL\">Returns the harmonic mean of a data set.</ahelp>"
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            "target": [
                "<ahelp hid=\"HID_FUNC_HARMITTEL\">Returnerer det harmoniske gjennomsnittet av ei datamengd.</ahelp>"
            ],
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            "source_unit": "https://translations.documentfoundation.org/api/units/24947091/?format=api",
            "priority": 100,
            "id": 1724137,
            "web_url": "https://translations.documentfoundation.org/translate/libo_help-master/textscalc01/nn/?checksum=0390dfa36b868c37",
            "url": "https://translations.documentfoundation.org/api/units/1724137/?format=api",
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        },
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            "source": [
                "<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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            "target": [
                "<item type=\"input\">=GJENNOMSNITT.HARMONISK(23; 46; 69)</item> = 37,64. Det harmoniske gjennomsnittet for denne tilfeldige prøven er altså 37,64"
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            "priority": 100,
            "id": 1724143,
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        },
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            "source": [
                "<bookmark_value>HYPGEOMDIST function</bookmark_value>         <bookmark_value>sampling without replacement</bookmark_value>"
            ],
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            "target": [
                "<bookmark_value>HYPGEOM.FORDELING funksjon</bookmark_value>         <bookmark_value>prøver utan erstatningar</bookmark_value>"
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            "note": "Cd5VE",
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            "priority": 100,
            "id": 1724145,
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            "url": "https://translations.documentfoundation.org/api/units/1724145/?format=api",
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            "source": [
                "HYPGEOMDIST"
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            "target": [
                "HYPGEOM.FORDELING (HYPGEOMDIST på engelsk)"
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            "priority": 100,
            "id": 1724148,
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            "url": "https://translations.documentfoundation.org/api/units/1724148/?format=api",
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            "source": [
                "<ahelp hid=\"HID_FUNC_HYPGEOMVERT\">Returns the hypergeometric distribution.</ahelp>"
            ],
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            "target": [
                "<ahelp hid=\"HID_FUNC_HYPGEOMVERT\">Returnerer den hypergeometriske fordelinga.</ahelp>"
            ],
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            "priority": 100,
            "id": 1724150,
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            "url": "https://translations.documentfoundation.org/api/units/1724150/?format=api",
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        },
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            "source": [
                "<emph>X</emph> is the number of results achieved in the random sample."
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            "target": [
                "<emph>X</emph> er talet på resultat oppnådd i den tilfeldige prøven."
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            "note": "ingyW",
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            "priority": 100,
            "id": 1724162,
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        },
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            "source": [
                "<emph>NSample</emph> is the size of the random sample."
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            "target": [
                "<emph>Prøvestorleiken</emph> er storleiken av stikkprøven."
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            "priority": 100,
            "id": 1724163,
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        },
        {
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            "source": [
                "<emph>Successes</emph> is the number of possible results in the total population."
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                "<emph>Populasjon</emph> er talet på moglege resultat i den totale populasjonen."
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            "priority": 100,
            "id": 1724164,
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        },
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            "source": [
                "<emph>NPopulation </emph>is the size of the total population."
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                "<emph>Populasjonsstorleiken</emph> er storleiken på den totale populasjonen."
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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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                "<item type=\"input\">=HYPGEOM.FORDELING(2;2;90;100)</item> gjev 0.81. Dersom 90 av 100 brødskiver fell ned frå bordet og treff golvet med smørsida ned, vil 2 brødskiver som fell ned frå bordet ha 81 % sjanse for at begge vil hamna med smørsida ned."
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                "<bookmark_value>HYPGEOM.DIST function</bookmark_value>        <bookmark_value>sampling without replacement</bookmark_value>"
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                "<bookmark_value>HYPGEOM.FORDELING-funksjonen</bookmark_value>         <bookmark_value>prøver utan erstatningar</bookmark_value>"
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            "id": 1724170,
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