Translation components API.

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

GET /api/translations/libo_help-master/textscalc01/dz/units/?format=api&page=70
HTTP 200 OK
Allow: GET, POST, HEAD, OPTIONS
Content-Type: application/json
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            "source": [
                "<emph>Value</emph> is the x value, for which the y value on the linear regression is to be returned."
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                "<emph> གནས་གོང་དེ་ </emph> ཐིག་གི་རི་གེ་རེ་ཤཱན་གུ་ལུ་ ཝའི་གནས་གོང་དོན་ལུ་ སླར་ལོག་འབད་ནི་ཨིན་པའི་ ཨེགསི་གནས་གོང་ཨིན།"
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                "<emph>DataY</emph> is the array or range of known y's."
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                "<emph>Data_Y</emph> འདི་ ཤེས་ཡོད་པའི་ཝའི་གི་ ཨེ་རེ་ཡང་ན་ ཁྱབ་ཚད་ཨིན།"
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            "translation": "https://translations.documentfoundation.org/api/translations/libo_help-master/textscalc01/dz/?format=api",
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                "<emph>DataX</emph> is the array or range of known x's."
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                "<emph>Data_X</emph> འདི་ཤེས་ཡོད་པའི་ཨགསི་གི་ ཨེ་རེ་ཡང་ན་ཁྱབ་ཚད་ཨིན།"
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                "<item type=\"input\">=FORECAST(50;A1:A50;B1;B50)</item> returns the Y value expected for the X value of 50 if the X and Y values in both references are linked by a linear trend."
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                "=FORECAST(50; A1:A50; B1;B50) གིས་ གཞི་བསྟུན་ཚུ་གཉིས་ཆ་ར་ནང་ ཨེགསི་དང་ཝའི་གནས་གོང་ཚུ་ཐིག་གི་ཁ་ཕྱོགས་ཀྱིས་འབྲེལ་མཐུད་དེ་ཡོད་པ་ཅིན་ ༥༠ གི་ གནས་གོང་ཨེགསི་དོན་ལུ་རེ་བ་བསྐྱེད་ཡོད་པའི་གནས་གོང་ཝའི་སླར་ལོག་འབདཝ་ཨིན།"
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            "source": [
                "<bookmark_value>regression lines;FORECAST.LINEAR function</bookmark_value>         <bookmark_value>extrapolations</bookmark_value>         <bookmark_value>FORECAST.LINEAR function</bookmark_value>"
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                "<bookmark_value>རི་གེ་རེ་ཤཱན་གྲལ་ཐིག་ཚུ་</bookmark_value><bookmark_value>ཕོག་ཚོད་དཔག་ནི་</bookmark_value><bookmark_value>FORECAST ལས་འགན་</bookmark_value>"
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            "id": 1471773,
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                "FORECAST.LINEAR"
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                ""
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            "translation": "https://translations.documentfoundation.org/api/translations/libo_help-master/textscalc01/dz/?format=api",
            "source": [
                "<ahelp hid=\"HID_FUNC_SCHAETZER\">Extrapolates future values based on existing x and y values.</ahelp>"
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            "target": [
                "<ahelp hid=\"HID_FUNC_SCHAETZER\"> གནས་བཞིན་ཡོད་པའི་ ཨེགསི་དང་ཝའི་གནས་གོང་ཚུ་གུ་ལུ་གཞི་བཞག་སྟེ་ མ་འོངས་པའི་གནས་གོང་ཚུ་ རིགས་འགྲེས་གཏངམ་ཨིན། </ahelp>"
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                "FORECAST.LINEAR(Value; DataY; DataX)"
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            "source": [
                "<emph>Value</emph> is the x value, for which the y value on the linear regression is to be returned."
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            "target": [
                "<emph> གནས་གོང་དེ་ </emph> ཐིག་གི་རི་གེ་རེ་ཤཱན་གུ་ལུ་ ཝའི་གནས་གོང་དོན་ལུ་ སླར་ལོག་འབད་ནི་ཨིན་པའི་ ཨེགསི་གནས་གོང་ཨིན།"
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                "<emph>DataY</emph> is the array or range of known y's."
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                "<emph>Data_Y</emph> འདི་ ཤེས་ཡོད་པའི་ཝའི་གི་ ཨེ་རེ་ཡང་ན་ ཁྱབ་ཚད་ཨིན།"
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                "<emph>DataX</emph> is the array or range of known x's."
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                "<emph>Data_X</emph> འདི་ཤེས་ཡོད་པའི་ཨགསི་གི་ ཨེ་རེ་ཡང་ན་ཁྱབ་ཚད་ཨིན།"
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                "<item type=\"input\">=FORECAST.LINEAR(50;A1:A50;B1;B50)</item> returns the Y value expected for the X value of 50 if the X and Y values in both references are linked by a linear trend."
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                "=FORECAST(50; A1:A50; B1;B50) གིས་ གཞི་བསྟུན་ཚུ་གཉིས་ཆ་ར་ནང་ ཨེགསི་དང་ཝའི་གནས་གོང་ཚུ་ཐིག་གི་ཁ་ཕྱོགས་ཀྱིས་འབྲེལ་མཐུད་དེ་ཡོད་པ་ཅིན་ ༥༠ གི་ གནས་གོང་ཨེགསི་དོན་ལུ་རེ་བ་བསྐྱེད་ཡོད་པའི་གནས་གོང་ཝའི་སླར་ལོག་འབདཝ་ཨིན།"
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            "id": 1471801,
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            "source": [
                "<item type=\"input\">=STDEV.P(A1:A50)</item> returns a standard deviation of the data referenced."
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                "=STDEVA(A1:A50) གིས་ གཞི་བསྟུན་འབད་ཡོད་པའི་གནད་སྡུད་གུ་ལུ་གཞི་བཞག་སྟེ་ཕོག་ཚོད་དཔག་ཡོད་པའི་ ཚད་ལྡན་ཁ་བསྒྱུར་བ་སླར་ལོག་འབདཝ་ཨིན།"
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                "<bookmark_value>STDEV.S function</bookmark_value>        <bookmark_value>standard deviations in statistics;based on a sample</bookmark_value>"
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                "<bookmark_value>STDEV ལས་འགན་</bookmark_value><bookmark_value>ཚད་ལྡན་ཁ་བསྒྱུར་བ་འདི་ཚད་རྩིས་ནང་  དཔེ་ཚད་ལུ་གཞི་བཞག་སྟེ་</bookmark_value>"
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                "STDEV.S"
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                "<ahelp hid=\"HID_FUNC_ST_DEV_S\">Calculates the standard deviation based on sample of the population.</ahelp>"
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                "<ahelp hid=\"HID_FUNC_STABWN\"> མི་རློབས་ཧྲིལ་བུ་གུ་ལུ་གཞི་བཞག་སྟེ་ ཚད་ལྡན་ཁ་བསྒྱུར་བ་རྩིས་སྟོནམ་ཨིན། </ahelp>"
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                "<item type=\"input\">=STDEV.S(A1:A50)</item> returns a standard deviation of the data referenced."
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                "=STDEVA(A1:A50) གིས་ གཞི་བསྟུན་འབད་ཡོད་པའི་གནད་སྡུད་གུ་ལུ་གཞི་བཞག་སྟེ་ཕོག་ཚོད་དཔག་ཡོད་པའི་ ཚད་ལྡན་ཁ་བསྒྱུར་བ་སླར་ལོག་འབདཝ་ཨིན།"
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                "<bookmark_value>STDEVPA function</bookmark_value>"
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                "<bookmark_value>STDEVPA ལས་འགན།</bookmark_value>"
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                "<ahelp hid=\"HID_FUNC_STABWNA\">Calculates the standard deviation based on the entire population.</ahelp>"
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                "<item type=\"input\">=STDEVPA(A1:A50)</item> returns the standard deviation of the data referenced."
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                "=STDEVA(A1:A50) གིས་ གཞི་བསྟུན་འབད་ཡོད་པའི་གནད་སྡུད་གུ་ལུ་གཞི་བཞག་སྟེ་ཕོག་ཚོད་དཔག་ཡོད་པའི་ ཚད་ལྡན་ཁ་བསྒྱུར་བ་སླར་ལོག་འབདཝ་ཨིན།"
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                "<bookmark_value>STANDARDIZE function</bookmark_value>         <bookmark_value>converting;random variables, into normalized values</bookmark_value>"
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                "<ahelp hid=\"HID_FUNC_STANDARDISIERUNG\">Converts a random variable to a normalized value.</ahelp>"
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                "STANDARDIZE(Number; Mean; StDev)"
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                "STANDARDIZE(ཨང་གྲངས། མཱིན། ཨེསི་ཊི་ཌི་ཨི་ཝི།)"
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            "priority": 100,
            "id": 1471820,
            "web_url": "https://translations.documentfoundation.org/translate/libo_help-master/textscalc01/dz/?checksum=9db810830b4263e9",
            "url": "https://translations.documentfoundation.org/api/units/1471820/?format=api",
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        {
            "translation": "https://translations.documentfoundation.org/api/translations/libo_help-master/textscalc01/dz/?format=api",
            "source": [
                "<emph>Number</emph> is the value to be standardized."
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            "target": [
                "<emph> ཨང་ </emph> འདི་ཚད་ལྡན་བཟོ་ནི་ཨིན་པའི་གནས་གོང་ཨིན།"
            ],
            "id_hash": -416635879818273906,
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            "source_unit": "https://translations.documentfoundation.org/api/units/24948089/?format=api",
            "priority": 100,
            "id": 1471821,
            "web_url": "https://translations.documentfoundation.org/translate/libo_help-master/textscalc01/dz/?checksum=7a37cfdfeebfdb8e",
            "url": "https://translations.documentfoundation.org/api/units/1471821/?format=api",
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        },
        {
            "translation": "https://translations.documentfoundation.org/api/translations/libo_help-master/textscalc01/dz/?format=api",
            "source": [
                "<emph>Mean</emph> is the arithmetic mean of the distribution."
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            "target": [
                "<emph> མཱིན་ </emph> དེ་ བགོ་བཀྲམ་འབད་ནི་གི་ ཨང་རྩིས་མཱིན་ཨིན།"
            ],
            "id_hash": 3278885302563735940,
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            "priority": 100,
            "id": 1471822,
            "web_url": "https://translations.documentfoundation.org/translate/libo_help-master/textscalc01/dz/?checksum=ad80f0cf768f8984",
            "url": "https://translations.documentfoundation.org/api/units/1471822/?format=api",
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            "timestamp": "2019-07-11T17:52:41.126076Z"
        },
        {
            "translation": "https://translations.documentfoundation.org/api/translations/libo_help-master/textscalc01/dz/?format=api",
            "source": [
                "<emph>StDev</emph> is the standard deviation of the distribution."
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                "<emph> ཨེསི་ཊི་ཌི་ཨི་ཝི་ </emph> དེ་ བགོ་བཀྲམ་འབད་ནི་གི་ ཚད་ལྡན་ཁ་བསྒྱུར་བ་ཨིན།"
            ],
            "id_hash": 5884238549797243759,
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            "priority": 100,
            "id": 1471823,
            "web_url": "https://translations.documentfoundation.org/translate/libo_help-master/textscalc01/dz/?checksum=d1a903c8f6530b6f",
            "url": "https://translations.documentfoundation.org/api/units/1471823/?format=api",
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            "timestamp": "2019-07-11T17:52:41.137934Z"
        },
        {
            "translation": "https://translations.documentfoundation.org/api/translations/libo_help-master/textscalc01/dz/?format=api",
            "source": [
                "<item type=\"input\">=STANDARDIZE(11;10;1)</item> returns 1. The value 11 in a normal distribution with a mean of 10 and a standard deviation of 1 is as much above the mean of 10, as the value 1 is above the mean of the standard normal distribution."
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            "target": [
                "=STANDARDIZE(11; 10; 1) གིས་ ༡ སླར་ལོག་འབདཝ་ཨིན། གནས་གོང་ ༡༡ དེ་ སྤྱིར་བཏང་ཚད་ལྡན་བགོ་བཀྲམ་མཱིན་གི་ལྟག་ལུ་ཡོདཔ་ལས་  སྤྱིར་བཏང་བགོ་བཀྲམ་ནང་ མཱིན་ ༡༠ དང་ ཚད་ལྡན་ཁ་བསྒྱུར་བ་ ༡ དང་བཅས་མི་དེ་ མཱིན་ ༡༠ གི་ལྟག་ལས་ཨིན།"
            ],
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            "priority": 100,
            "id": 1471824,
            "web_url": "https://translations.documentfoundation.org/translate/libo_help-master/textscalc01/dz/?checksum=af8613fafdeaa6cf",
            "url": "https://translations.documentfoundation.org/api/units/1471824/?format=api",
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            "source": [
                "<bookmark_value>NORMSINV function</bookmark_value>         <bookmark_value>normal distribution;inverse of standard</bookmark_value>"
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                "<bookmark_value>NORMSINV ལས་འགན་</bookmark_value><bookmark_value>སྤཡི་བཏང་བགོ་བཀྲམ་  ཚད་ལྡན་གྱི་ལུགས་ལྡོག་</bookmark_value>"
            ],
            "id_hash": 6326648256749723858,
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            "note": "7Zaup",
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            "num_words": 6,
            "source_unit": "https://translations.documentfoundation.org/api/units/24948093/?format=api",
            "priority": 100,
            "id": 1471825,
            "web_url": "https://translations.documentfoundation.org/translate/libo_help-master/textscalc01/dz/?checksum=d7ccc511ca6960d2",
            "url": "https://translations.documentfoundation.org/api/units/1471825/?format=api",
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            "source": [
                "NORMSINV"
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            "target": [
                "NORMSINV"
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            "note": "3CGrL",
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            "source_unit": "https://translations.documentfoundation.org/api/units/24948094/?format=api",
            "priority": 100,
            "id": 1471826,
            "web_url": "https://translations.documentfoundation.org/translate/libo_help-master/textscalc01/dz/?checksum=d91432baa5235c16",
            "url": "https://translations.documentfoundation.org/api/units/1471826/?format=api",
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            "translation": "https://translations.documentfoundation.org/api/translations/libo_help-master/textscalc01/dz/?format=api",
            "source": [
                "<ahelp hid=\"HID_FUNC_STANDNORMINV\">Returns the inverse of the standard normal cumulative distribution.</ahelp>"
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                "<ahelp hid=\"HID_FUNC_STANDNORMINV\"> སྤྱིར་བཏང་བསྡུ་གསོག་བགོ་བཀྲམ་འབད་ནི་ཚད་ལྡན་གྱི་ ལུགས་ལྡོག་སླར་ལོག་འབདཝ་ཨིན། </ahelp>"
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            "note": "YuWPN",
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            "source_unit": "https://translations.documentfoundation.org/api/units/24948095/?format=api",
            "priority": 100,
            "id": 1471827,
            "web_url": "https://translations.documentfoundation.org/translate/libo_help-master/textscalc01/dz/?checksum=ecd142379ff660ef",
            "url": "https://translations.documentfoundation.org/api/units/1471827/?format=api",
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        {
            "translation": "https://translations.documentfoundation.org/api/translations/libo_help-master/textscalc01/dz/?format=api",
            "source": [
                "NORMSINV(Number)"
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            "target": [
                "NORMINV(ཨང་།)"
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            "note": "ALdZE",
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            "source_unit": "https://translations.documentfoundation.org/api/units/24948096/?format=api",
            "priority": 100,
            "id": 1471828,
            "web_url": "https://translations.documentfoundation.org/translate/libo_help-master/textscalc01/dz/?checksum=da790f022e92e820",
            "url": "https://translations.documentfoundation.org/api/units/1471828/?format=api",
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        {
            "translation": "https://translations.documentfoundation.org/api/translations/libo_help-master/textscalc01/dz/?format=api",
            "source": [
                "<emph>Number</emph> is the probability to which the inverse standard normal distribution is calculated."
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                "<emph> ཨང་གྲངས་ </emph> དེ་ སྤྱིར་བཏང་བགོ་བཀྲམ་ལུགས་ལྡོག་ཚད་ལྡན་རྩིས་སྟོན་འབད་ནི་ཨིན་པའི་ འབྱུང་ངེས་ཨིན།"
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            "content_hash": 5196054653123221311,
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            "note": "aa3ET",
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            "source_unit": "https://translations.documentfoundation.org/api/units/24948097/?format=api",
            "priority": 100,
            "id": 1471829,
            "web_url": "https://translations.documentfoundation.org/translate/libo_help-master/textscalc01/dz/?checksum=c81c182d58ecd73f",
            "url": "https://translations.documentfoundation.org/api/units/1471829/?format=api",
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            "source": [
                "<item type=\"input\">=NORMSINV(0.908789)</item> returns 1.3333."
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                ""
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            "note": "uLkyV",
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            "source_unit": "https://translations.documentfoundation.org/api/units/24948098/?format=api",
            "priority": 100,
            "id": 1471830,
            "web_url": "https://translations.documentfoundation.org/translate/libo_help-master/textscalc01/dz/?checksum=7618807606f2949c",
            "url": "https://translations.documentfoundation.org/api/units/1471830/?format=api",
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            "source": [
                "<bookmark_value>NORM.S.INV function</bookmark_value>         <bookmark_value>normal distribution;inverse of standard</bookmark_value>"
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                "<bookmark_value>NORMSINV ལས་འགན་</bookmark_value><bookmark_value>སྤཡི་བཏང་བགོ་བཀྲམ་  ཚད་ལྡན་གྱི་ལུགས་ལྡོག་</bookmark_value>"
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            "note": "vDJ2n",
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            "source_unit": "https://translations.documentfoundation.org/api/units/24948099/?format=api",
            "priority": 100,
            "id": 1471831,
            "web_url": "https://translations.documentfoundation.org/translate/libo_help-master/textscalc01/dz/?checksum=cb0247677f8c4a52",
            "url": "https://translations.documentfoundation.org/api/units/1471831/?format=api",
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