VEDEV è¿åä¸ç»æ°æ®ä¸å
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AVERAGE è¿ååæ°ç®æ¯å¹³åå¼ã AVERAGE(number1,number2, ...)
AVERAGEA 计ç®åæ°æ¸
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BETADIST è¿å Beta åå¸ç´¯ç§¯å½æ°çå½æ°å¼ãBeta åå¸ç´¯ç§¯å½æ°é常ç¨äºç ç©¶æ ·æ¬éåä¸æäºäºç©çåçåååæ
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BETAINV è¿å beta åå¸ç´¯ç§¯å½æ°çéå½æ°å¼ãå³ï¼å¦æ probability = BETADIST(x,...)ï¼å BETAINV(probability,...) = xãbeta åå¸ç´¯ç§¯å½æ°å¯ç¨äºé¡¹ç®è®¾è®¡ï¼å¨ç»å®ææçå®ææ¶é´ååååæ°åï¼æ¨¡æå¯è½çå®ææ¶é´ã BETAINV(probability,alpha,beta,A,B)
BINOMDIST è¿åä¸å
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CHIDIST è¿å γ2 åå¸çåå°¾æ¦çãγ2 åå¸ä¸ γ2 æ£éªç¸å
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CHIINV è¿å γ2 åå¸åå°¾æ¦ççéå½æ°ã CHIINV(probability,degrees_freedom)
CHITEST è¿åç¬ç«æ§æ£éªå¼ãå½æ° CHITEST è¿å γ2 åå¸çç»è®¡å¼åç¸åºçèªç±åº¦ã CHITEST(actual_range,expected_range)
CONFIDENCE è¿åæ»ä½å¹³åå¼ç置信åºé´ã置信åºé´æ¯æ ·æ¬å¹³åå¼ä»»æä¸ä¾§çåºåã CONFIDENCE(alpha,standard_dev,size)
CORREL è¿ååå
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COUNT è¿ååæ°ç个æ°ãå©ç¨å½æ° COUNT å¯ä»¥è®¡ç®æ°ç»æåå
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COUNTA è¿ååæ°ç»ä¸é空å¼çæ°ç®ãå©ç¨å½æ°COUNTA å¯ä»¥è®¡ç®æ°ç»æåå
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COVAR è¿ååæ¹å·®ï¼å³æ¯å¯¹æ°æ®ç¹çåå·®ä¹ç§¯çå¹³åæ°ï¼å©ç¨åæ¹å·®å¯ä»¥å³å®ä¸¤ä¸ªæ°æ®éä¹é´çå
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CRITBINOM è¿å使累积äºé¡¹å¼åå¸å¤§äºçäºä¸´çå¼çæå°å¼ãæ¤å½æ°å¯ä»¥ç¨äºè´¨éæ£éªã CRITBINOM(trials,probability_s,alpha)
DEVSQ è¿åæ°æ®ç¹ä¸åèªæ ·æ¬åå¼åå·®çå¹³æ¹åã DEVSQ(number1,number2,...)
EXPONDIST è¿åææ°åå¸ã使ç¨å½æ° EXPONDIST å¯ä»¥å»ºç«äºä»¶ä¹é´çæ¶é´é´é模åã EXPONDIST(x,lambda,cumulative)
FDIST è¿å F æ¦çåå¸ã使ç¨æ¤å½æ°å¯ä»¥ç¡®å®ä¸¤ä¸ªæ°æ®ç³»åæ¯å¦åå¨ååç¨åº¦ä¸çä¸åã FDIST(x,degrees_freedom1,degrees_freedom2)
FINV è¿å F æ¦çåå¸çéå½æ°å¼ã FINV(probability,degrees_freedom1,degrees_freedom2)
FISHER è¿åç¹ x ç Fisher åæ¢ã该åæ¢çæä¸ä¸ªè¿ä¼¼æ£æåå¸èéåæçå½æ°ã FISHER(x)
FISHERINV è¿å Fisher åæ¢çéå½æ°å¼ã使ç¨æ¤åæ¢å¯ä»¥åææ°æ®åºåææ°ç»ä¹é´çç¸å
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FORECAST æ ¹æ®ç»å®çæ°æ®è®¡ç®æé¢æµæªæ¥å¼ã FORECAST(x,known_y's,known_x's)
FREQUENCY 以ä¸ååç´æ°ç»è¿åæ个åºåä¸æ°æ®çé¢çåå¸ã FREQUENCY(data_array,bins_array)
FTEST è¿å F æ£éªçç»æãF æ£éªè¿åçæ¯å½æ°ç» 1 åæ°ç» 2 çæ¹å·®æ ææ¾å·®å¼æ¶çåå°¾æ¦çãå¯ä»¥ä½¿ç¨æ¤å½æ°æ¥å¤æä¸¤ä¸ªæ ·æ¬çæ¹å·®æ¯å¦ä¸åã FTEST(array1,array2)
GAMMADIST è¿åä¼½çåå¸ãå¯ä»¥ä½¿ç¨æ¤å½æ°æ¥ç 究å
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GAMMAINV è¿åä¼½çåå¸ç累积å½æ°çéå½æ°ã GAMMAINV(probability,alpha,beta)
GAMMALN è¿åä¼½çå½æ°çèªç¶å¯¹æ°ï¼Î(x)ã GAMMALN(x)
GEOMEAN è¿åæ£æ°æ°ç»ææ°æ®åºåçå ä½å¹³åå¼ã GEOMEAN(number1,number2, ...)
GROWTH æ ¹æ®ç»å®çæ°æ®é¢æµææ°å¢é¿å¼ã GROWTH(known_y's,known_x's,new_x's,const)
HARMEAN è¿åæ°æ®éåçè°åå¹³åå¼ãè°åå¹³åå¼ä¸åæ°çç®æ¯å¹³åå¼äºä¸ºåæ°ã HARMEAN(number1,number2, ...)
HYPGEOMDIST è¿åè¶
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population_s,number_population)
INTERCEPT å©ç¨å·²ç¥ç x å¼ä¸ y å¼è®¡ç®ç´çº¿ä¸ y è½´çæªè·ã INTERCEPT(known_y's,known_x's)
KURT è¿åæ°æ®éçå³°å¼ã KURT(number1,number2, ...)
LARGE è¿åæ°æ®éé第 k 个æ大å¼ã使ç¨æ¤å½æ°å¯ä»¥æ ¹æ®ç¸å¯¹æ åæ¥éæ©æ°å¼ã LARGE(array,k)
LINEST 使ç¨æå°äºä¹æ³è®¡ç®å¯¹å·²ç¥æ°æ®è¿è¡æä½³ç´çº¿æåï¼å¹¶è¿åæè¿°æ¤ç´çº¿çæ°ç»ã LINEST(known_y's,known_x's,const,stats)
LOGEST å¨åå½åæä¸ï¼è®¡ç®æ符åè§æµæ°æ®ç»çææ°åå½æåæ²çº¿ï¼å¹¶è¿åæ述该æ²çº¿çæ°ç»ã LOGEST(known_y's,known_x's,const,stats)
LOGINV è¿å x ç对æ°æ£æåå¸ç´¯ç§¯å½æ°çéå½æ°ã LOGINV(probability,mean,standard_dev)
LOGNORMDIST è¿å x ç对æ°æ£æåå¸ç累积å½æ°ã LOGNORMDIST(x,mean,standard_dev)
MAX è¿åæ°æ®éä¸çæ大æ°å¼ã MAX(number1,number2,...)
MAXA è¿ååæ°æ¸
åä¸çæ大æ°å¼ã MAXA(value1,value2,...)
MEDIAN è¿åç»å®æ°å¼éåçä¸ä½æ°ãä¸ä½æ°æ¯å¨ä¸ç»æ°æ®ä¸å±
äºä¸é´çæ°ã MEDIAN(number1,number2, ...)
MIN è¿åç»å®åæ°è¡¨ä¸çæå°å¼ã MIN(number1,number2, ...)
MINA è¿ååæ°æ¸
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MODE è¿åå¨æä¸æ°ç»ææ°æ®åºåä¸åºç°é¢çæå¤çæ°å¼ã MODE(number1,number2, ...)
NEGBINOMDIST è¿åè´äºé¡¹å¼åå¸ã NEGBINOMDIST(number_f,number_s,probability_s)
NORMDIST è¿åç»å®å¹³åå¼åæ ååå·®çæ£æåå¸ç累积å½æ°ã NORMDIST(x,mean,standard_dev,cumulative)
NORMINV è¿åç»å®å¹³åå¼åæ ååå·®çæ£æåå¸ç累积å½æ°çéå½æ°ã NORMINV(probability,mean,standard_dev)
NORMSDIST è¿åæ åæ£æåå¸ç累积å½æ°ï¼è¯¥åå¸çå¹³åå¼ä¸º 0ï¼æ åå差为 1ã NORMSDIST(z)
NORMSINV è¿åæ åæ£æåå¸ç´¯ç§¯å½æ°çéå½æ°ã该åå¸çå¹³åå¼ä¸º 0ï¼æ åå差为 1ã NORMSINV(probability)
PEARSON è¿å Pearsonï¼ç®å°çï¼ä¹ç§¯ç©ç¸å
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PERCENTILE è¿åæ°å¼åºåç K ç¾åæ¯æ°å¼ç¹ãå¯ä»¥ä½¿ç¨æ¤å½æ°æ¥å»ºç«æ¥åéå¼ãä¾å¦ï¼å¯ä»¥ç¡®å®å¾åæåå¨ 90 个ç¾åç¹ä»¥ä¸çæ£æµä¾¯é人ã PERCENTILE(array,k)
PERCENTRANK è¿åç¹å®æ°å¼å¨ä¸ä¸ªæ°æ®éä¸çç¾åæ¯æä½ãæ¤å½æ°å¯ç¨äºæ¥çç¹å®æ°æ®å¨æ°æ®éä¸æå¤çä½ç½®ãä¾å¦ï¼å¯ä»¥ä½¿ç¨å½æ° PERCENTRANK 计ç®æ个ç¹å®çè½åæµè¯å¾åå¨ææçè½åæµè¯å¾åä¸çä½ç½®ã PERCENTRANK(array,x,significance)
PERMUT è¿åä»ç»å®æ°ç®ç对象éåä¸éåçè¥å¹²å¯¹è±¡çæåæ°ãæåå¯ä»¥ä¸ºæå
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POISSON è¿åæ³æ¾åå¸ãæ³æ¾åå¸é常ç¨äºé¢æµä¸æ®µæ¶é´å
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PROB è¿åä¸æ¦çäºä»¶ç»ä¸è½å¨æå®åºåå
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QUARTILE è¿åæ°æ®éçååä½æ°ãååä½æ°é常ç¨äºå¨éå®é¢åæµéå¼æ°æ®éä¸å¯¹æ»ä½è¿è¡åç»ãä¾å¦ï¼å¯ä»¥ä½¿ç¨å½æ° QUARTILE æ±å¾æ»ä½ä¸å 25% çæ¶å
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RANK è¿åä¸ä¸ªæ°å¼å¨ä¸ç»æ°å¼ä¸çæä½ãæ°å¼çæä½æ¯ä¸æ°æ®æ¸
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RSQ è¿åæ ¹æ® known_y's å known_x's ä¸æ°æ®ç¹è®¡ç®å¾åºç Pearson ä¹ç§¯ç©ç¸å
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SKEW è¿ååå¸çåæ度ãåæ度åæ 以平åå¼ä¸ºä¸å¿çåå¸çä¸å¯¹ç§°ç¨åº¦ãæ£åæ度表示ä¸å¯¹ç§°è¾¹çåå¸æ´è¶åæ£å¼ãè´åæ度表示ä¸å¯¹ç§°è¾¹çåå¸æ´è¶åè´å¼ã SKEW(number1,number2,...)
SLOPE è¿åæ ¹æ® known_y's å known_x's ä¸çæ°æ®ç¹æåç线æ§åå½ç´çº¿çæçãæç为ç´çº¿ä¸ä»»æ两ç¹çéç´è·ç¦»ä¸æ°´å¹³è·ç¦»çæ¯å¼ï¼ä¹å°±æ¯åå½ç´çº¿çååçã SLOPE(known_y's,known_x's)
SMALL è¿åæ°æ®éä¸ç¬¬ k 个æå°å¼ã使ç¨æ¤å½æ°å¯ä»¥è¿åæ°æ®éä¸ç¹å®ä½ç½®ä¸çæ°å¼ã SMALL(array,k)
STANDARDIZE è¿å以 mean 为平åå¼ï¼ä»¥ standard-dev 为æ ååå·®çåå¸çæ£æåæ°å¼ã STANDARDIZE(x,mean,standard_dev)
STDEV ä¼°ç®æ ·æ¬çæ ååå·®ãæ ååå·®åæ ç¸å¯¹äºå¹³åå¼ï¼meanï¼ç离æ£ç¨åº¦ã STDEV(number1,number2,...)
STDEVA ä¼°ç®åºäºç»å®æ ·æ¬çæ ååå·®ãæ ååå·®åæ æ°å¼ç¸å¯¹äºå¹³åå¼ï¼meanï¼ç离æ£ç¨åº¦ãææ¬å¼åé»è¾å¼ï¼å¦ TRUE æ FALSEï¼ä¹å°è®¡ç®å¨å
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STDEVP è¿å以åæ°å½¢å¼ç»åºçæ´ä¸ªæ ·æ¬æ»ä½çæ ååå·®ãæ ååå·®åæ ç¸å¯¹äºå¹³åå¼ï¼meanï¼ç离æ£ç¨åº¦ã STDEVP(number1,number2,...)
STDEVPA 计ç®æ ·æ¬æ»ä½çæ ååå·®ãæ ååå·®åæ æ°å¼ç¸å¯¹äºå¹³åå¼ï¼meanï¼ç离æ£ç¨åº¦ã STDEVPA(value1,value2,...)
STEYX è¿åéè¿çº¿æ§åå½æ³è®¡ç® y é¢æµå¼æ¶æ产ççæ å误差ãæ å误差ç¨æ¥åº¦éæ ¹æ®å个 x åé计ç®åºç y é¢æµå¼ç误差éã STEYX(known_y's,known_x's)
TDIST è¿åå¦ç t- åå¸çç¾åç¹ï¼æ¦çï¼ï¼t åå¸ä¸æ°å¼ (x) æ¯ t ç计ç®å¼ï¼å°è®¡ç®å
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TINV è¿åä½ä¸ºæ¦çåèªç±åº¦å½æ°çå¦ç t åå¸ç t å¼ã TINV(probability,degrees_freedom)
TREND è¿åä¸æ¡çº¿æ§åå½æå线çä¸ç»çºµåæ å¼ï¼y å¼ï¼ãå³æ¾å°éåç»å®çæ°ç» known_y's å known_x's çç´çº¿ï¼ç¨æå°äºä¹æ³ï¼ï¼å¹¶è¿åæå®æ°ç» new_x's å¼å¨ç´çº¿ä¸å¯¹åºç y å¼ã TREND(known_y's,known_x's,new_x's,const)
TRIMMEAN è¿åæ°æ®éçå
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TTEST è¿åä¸å¦çæ°- t æ£éªç¸å
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VAR ä¼°ç®æ ·æ¬æ¹å·®ã VAR(number1,number2,...)
VARA ä¼°ç®åºäºç»å®æ ·æ¬çæ¹å·®ãä¸ä»
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VARP 计ç®æ ·æ¬æ»ä½çæ¹å·®ã VARP(number1,number2,...)
VARPA 计ç®æ ·æ¬æ»ä½çæ¹å·®ãä¸ä»
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WEIBULL è¿åé¦ä¼¯åå¸ã使ç¨æ¤å½æ°å¯ä»¥è¿è¡å¯é æ§åæï¼æ¯å¦è®¡ç®è®¾å¤çå¹³åæ
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ZTEST è¿å z æ£éªçåå°¾ P å¼ãZ æ£éªæ ¹æ®æ°æ®éææ°ç»çæ x çæ åå¾åï¼å¹¶è¿åæ£æåå¸çåå°¾æ¦çãå¯ä»¥ä½¿ç¨æ¤å½æ°è¿åä»ææ»ä½ä¸æ½åç¹å®è§æµå¼çä¼¼ç¶ä¼°è®¡ã ZTEST(array,x,sigma)
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