Units

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                "<item type=\"input\">=NORM.INV(0.9;63;5)</item> returns 69.4077578277. If the average egg weighs 63 grams with a standard deviation of 5, then there will be 90% probability that the egg will not be heavier than 69.41g grams."
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                "=NORMINV(0.9; 63; 5) གིས་ ༦༩་༤༡ སླར་ལོག་འབདཝ་ཨིན། ཆ་སྙོམས་གོང་རྡོ་གཅིག་ ཚད་ལྡན་སྤྱི་དང་མི་མཐུན་པ་ ༥ དང་བཅས་ཏེ་ ལྗིད་ཚད་ ༦༣ ག་རམསི་ འཇལ་བ་ཅིན་ གོང་རྡོ་དེ་ ༦༩་༤༡ཇི་ ག་རམསི་ལས་ལྗིད་ལྕི་འབྱུང་སྲིད་པ་དེ་ ༩༠% འོང་ནི་ཨིན།"
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                "<bookmark_value>NORMDIST function</bookmark_value><bookmark_value>density function</bookmark_value>"
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                "<bookmark_value>NORMDIST ལས་འགན་</bookmark_value><bookmark_value>སྟུག་ཚད་ལས་འགན་</bookmark_value>"
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                "NORMDIST"
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                "<ahelp hid=\"HID_FUNC_NORMVERT\">Returns the density function or the normal cumulative distribution.</ahelp>"
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                "<ahelp hid=\"HID_FUNC_NORMVERT\">སྟུག་ཚད་ལས་འགན་ ཡང་ན་ སྤྱིར་བཏང་བསྡུ་གསོག་བགོ་བཀྲམ་འདི་སླར་ལོག་འབདཝ་ཨིན།</ahelp>"
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                "<emph>Number</emph> is the value of the distribution based on which the normal distribution is to be calculated."
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                "<emph> ཨང་གྲངས་དེ་ </emph> དེ་ལུ་གཞི་བཞག་སྟེ་ སྤྱིར་བཏང་བགོ་བཀྲམ་དེ་རྩིས་བརྐྱབ་ནི་ཨིན་པའི་བགོ་བཀྲམ་གྱི་གནས་གོང་ཨིན།"
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                "<emph>Mean</emph> is the mean value of the distribution."
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                "<emph> མཱིན་དེ་ </emph> བགོ་བཀྲམ་འབད་ནི་གི་ མཱིན་གནས་གོང་ཨིན།"
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                "<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།"
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                "<emph>C</emph> is optional. <emph>C</emph> = 0 calculates the density function, <emph>C</emph> = 1 calculates the distribution."
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                "<emph> སི་ </emph> = ༠ གིས་ སྟུག་ཚད་ལས་འགན་རྩིས་སྟོནམ་ཨིན། <emph> སི་ </emph> = ༡ གིས་ བགོ་བཀྲམ་འབད་ནི་དེ་རྩིས་སྟོནམ་ཨིན།"
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                "<item type=\"input\">=NORMDIST(70;63;5;0)</item> returns 0.03."
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                "<item type=\"input\">=NORMDIST(70;63;5;1)</item> returns 0.92."
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                "<bookmark_value>NORM.DIST function</bookmark_value><bookmark_value>density function</bookmark_value>"
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                "<bookmark_value>NORMDIST ལས་འགན་</bookmark_value><bookmark_value>སྟུག་ཚད་ལས་འགན་</bookmark_value>"
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                "<ahelp hid=\"HID_FUNC_NORMDIST_MS\">Returns the density function or the normal cumulative distribution.</ahelp>"
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                "<ahelp hid=\"HID_FUNC_NORMVERT\">སྟུག་ཚད་ལས་འགན་ ཡང་ན་ སྤྱིར་བཏང་བསྡུ་གསོག་བགོ་བཀྲམ་འདི་སླར་ལོག་འབདཝ་ཨིན།</ahelp>"
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                "NORM.DIST(Number; Mean; StDev; C)"
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                "NORMDIST(ཨང་གྲངས། མཱིན། ཨེསི་ཊི་ཌི་ཨི་ཝི། སི།)"
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            "priority": 100,
            "id": 1471614,
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            "source": [
                "<emph>Number</emph> is the value of the distribution based on which the normal distribution is to be calculated."
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                "<emph> ཨང་གྲངས་དེ་ </emph> དེ་ལུ་གཞི་བཞག་སྟེ་ སྤྱིར་བཏང་བགོ་བཀྲམ་དེ་རྩིས་བརྐྱབ་ནི་ཨིན་པའི་བགོ་བཀྲམ་གྱི་གནས་གོང་ཨིན།"
            ],
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            "priority": 100,
            "id": 1471615,
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            "source": [
                "<emph>Mean</emph> is the mean value of the distribution."
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                "<emph> མཱིན་དེ་ </emph> བགོ་བཀྲམ་འབད་ནི་གི་ མཱིན་གནས་གོང་ཨིན།"
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            "id": 1471616,
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                "<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།"
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            "priority": 100,
            "id": 1471617,
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            "source": [
                "<emph>C</emph> = 0 calculates the density function, <emph>C</emph> = 1 calculates the distribution."
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                "<emph> སི་ </emph> = ༠ གིས་ སྟུག་ཚད་ལས་འགན་རྩིས་སྟོནམ་ཨིན། <emph> སི་ </emph> = ༡ གིས་ བགོ་བཀྲམ་འབད་ནི་དེ་རྩིས་སྟོནམ་ཨིན།"
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                "<item type=\"input\">=NORM.DIST(70;63;5;0)</item> returns 0.029945493."
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                ""
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                "<item type=\"input\">=NORM.DIST(70;63;5;1)</item> returns 0.9192433408."
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                ""
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                "<bookmark_value>PEARSON function</bookmark_value>"
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                "<bookmark_value>PEARSON ལས་འགན།</bookmark_value>"
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                "<ahelp hid=\"HID_FUNC_PEARSON\">Returns the Pearson product moment correlation coefficient r.</ahelp>"
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                "<ahelp hid=\"HID_FUNC_PEARSON\"> པི་ཡར་སཱན་ཡུད་ཙམ་མཐུན་མོས་ཀྱི་འབྲེལ་བའི་གྲངས་རྟགས་ ཨར་ སླར་ལོག་འབདཝ་ཨིན། </ahelp>"
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            "source": [
                "PEARSON(Data1; Data2)"
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                "PEARSON(Data_1; Data_2)"
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            "priority": 100,
            "id": 1471624,
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                "<emph>Data1</emph> represents the array of the first data set."
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                "<emph>Data_1</emph> གིས་ གནད་སྡུད་ཆ་ཚན་དང་པའི་ཨེ་རེ་ ཁྱད་ཚབ་འབདཝ་ཨིན།"
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                "<emph>Data2</emph> represents the array of the second data set."
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                "<item type=\"input\">=PEARSON(A1:A30;B1:B30)</item> returns the Pearson correlation coefficient of both data sets."
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                "=PEARSON(A1:A30; B1:B30) གནད་སྡུད་ཆ་ཚན་གཉིས་ཆ་རའི་ པི་ཡར་སཱོན་མཐུན་མོས་ཀྱི་འབྲེལ་བའི་གྲངས་རྟགས་སླར་ལོག་འབདཝ་ཨིན།"
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            "source": [
                "<bookmark_value>PHI function</bookmark_value>"
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                "<bookmark_value>PERCENTILE function</bookmark_value>"
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                "<bookmark_value>PERCENTILE ལས་འགན།</bookmark_value>"
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                "PERCENTILE"
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            "source": [
                "<ahelp hid=\"HID_FUNC_QUANTIL\">Returns the alpha-percentile of data values in an array.</ahelp> A percentile returns the scale value for a data series which goes from the smallest (Alpha=0) to the largest value (alpha=1) of a data series. For <item type=\"literal\">Alpha</item> = 25%, the percentile means the first quartile; <item type=\"literal\">Alpha</item> = 50% is the MEDIAN."
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                "<ahelp hid=\"HID_FUNC_QUANTIL\">ཨེ་རེ་གཅིག་ནང་ གནད་སྡུད་གནས་གོང་ཚུའི་ཨཱལ་ཕ་བརྒྱ་ཚག་སླར་ལོག་འབདཝ་ཨིན། </ahelp> བརྒྱ་ཚག་གིས་ གནད་སྡུད་རྒྱུན་རིམ་གྱི་གནས་གོང་ཆུང་ཤོས་ལས་སྦོམ་ཤོས་ཚུན་འགྱོ་བའི་ (ཨཱལ་ཕ་= ༠) གནད་སྡུད་རྒྱུན་རིམ་དོན་ལུ་ (ཨཱལ་ཕ་= ༡) གནས་སྡུད་ཆ་ཚད་སླར་ལོག་འབདཝ་ཨིན། <emph> ཨཱལ་ཕ་ </emph> = 25% དོན་ལུ་ བརྒྱ་ཚག་དེ་ གྲུ་བཞི་བཟོ་ནི་དང་པམ་ལུ་གོ་ནི་དང་  <emph> ཨཱལ་ཕ་ </emph> = 50% དེ་ MEDIAN ལུ་གོ་ནི་ཨིན།"
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                "PERCENTILE(Data; Alpha)"
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                "PERCENTILE(གནད་སྡུད། ཨཱལ་ཕ།)"
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            "source": [
                "<emph>Data</emph> represents the array of data."
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                "<emph> གནད་སྡུད་ཀྱིས་ </emph> གནད་སྡུད་ཀྱི་ཨེ་རེ་ཁྱད་ཚབ་འབདཝ་ཨིན།"
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                "<emph>Alpha</emph> represents the percentage of the scale between 0 and 1."
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                "<emph> ཨཱལ་ཕ་ </emph> གིས་ འཇལ་ཚད་ ༠ དང་ ༡ བར་གྱི་ བརྒྱ་ཆ་ཁྱད་ཚབ་འབདཝ་ཨིན།"
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            "priority": 100,
            "id": 1471657,
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                "<item type=\"input\">=PERCENTILE(A1:A50;0.1)</item> represents the value in the data set, which equals 10% of the total data scale in A1:A50."
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                "=PERCENTILE(A1:A50; 0.1) གིས་ A1:A50 ནང་ གནད་སྡུད་ཆ་ཚད་བསྡོམས་ཀྱི་ ༡༠% དང་མཉམ་མི་ གནད་སྡུད་ཆ་ཚན་ནང་གནས་གོང་ཁྱད་ཚབ་འབདཝ་ཨིན།"
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                "<bookmark_value>PERCENTILE.EXC function</bookmark_value>"
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                "<bookmark_value>PERCENTILE ལས་འགན།</bookmark_value>"
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