Excel 2010 1 Các hàm trong excel a. Nhóm hàm về thống kê  lch tuym d li s bii ca tp s liu ng ng c, bao gm c nh logic ng c trong mt mng theo mu kin ng c trong mt mng theo nhiu kin COUNT (value1, value2, .) m s  m s  ng) trong danh  Excel 2010 2 ng trong m m s a mu kit  COUNTIFS m s a nhiu kin c  lm d liu t u ci ci. FREQUENCY (data_array, bins_array)   xut hi, ri tr v mt m d dc mng GEOMEAN (number1, number2, .) : Tr v a m   c . HARMEAN (number1, number2, .) : Tr v o ca ng) c  nhn ca tp s liu, biu th mc nhn hay mc phi ca m so v chun LARGE (array, k) : Tr v  ln nht th k trong mt tp s liu MAX (number1, number2, .) : Tr v  ln nht ca mt t MAXA (number1, number2, .) : Tr v  ln nht ca mt t, bao gm c    c. Excel 2010 3 MIN (number1, number2, .) : Tr v  nh nht ca mt t MINA (number1, number2, .) : Tr v  nh nht ca mt t, bao gm c   MODE (number1, number2, .) : Tr v  xut hin nhiu nht trong mt m  th k c trong mt mng d liu PERCENTRANK (array, x, significance) : Tr v th hng (v i) ca mt tr trong mt mng d li pha mng d li PERMUT (number, number_chosen) : Tr v  cng. m t  ca tp d lic  li p h  hng ca mt s  SKEW (number1, number2, .) : Tr v  lch c  i xng ca i quanh tr  SMALL (array, k) : Tr v  nh nht th k trong mt tp s  lch chu mu  lch chu mu, bao gm c nh logic  lch chu tp hp  lch chu tp hp, k c ch  logic VAR (number1, number2, .) : Tr v  mu Excel 2010 4 VARA (value1, value2, .) : Tr v u, bao gm c   VARP (number1, number2, .) : Tr v  tp hp VARPA (value1, value2, .) : Tr v  tp hp, bao gm c   n trong ca mt tp d liu, bi t l phm d liu   cui tp d liu. b. Nhóm hàm về phân phối xác suất BETADIST (x, alpha, beta, A, B) : Tr v  c  su BETAINV (probability, alpha, beta, A, B) : Tr v ngho c  BINOMDIST (number_s, trials, probability_s, cumulative) : Tr v t ca nhng ln th i nh  CHIDIST (x, degrees_freedom) : Tr v t mi chi- squared. CHIINV (probability, degrees_freedom) : Tr v ngho ct m ci chi-squared. CHITEST (actual_range, expected_range) : Tr v  ct t i chi- bc t ng. CONFIDENCE (alphang tin cy cho mt k v thuyt Excel 2010 5 CRITBINOM (trials, probability_s, alpha) : Tr v  nh nhi nh th  bm ng dt chng . EXPONDIST (x, lambda  phng thi gian gin c . FDIST (x, degreet F.  p s liu m  o ca   bip s liu FTEST (array1, array2) : Tr v kt qu ca m   nh xem hai m FISHER (x) : Tr v i Fisher t kim tra gi thuyt d s    mng s liu . GAMMADIST (x, alpha, beta, cumulative) : Tr v gamma th   lch GAMMAINV (probability, alpha, beta) : Tr v ngho c gamma.   HYPGEOMDIST (number1, number2, .) : Tr v t ca mt s l Excel 2010 6 o ci lognormal ca x (LOGNORMDIST) LOGNORMDIST (x, mean, standard_dev) : Tr v a  i vi  mean  NEGBINOMDIST (number_f, number_s, probability_s) : Tr v i nh thc  v  n tht bn i ca mt llity_s) NORMDIST (x, mean, standard_dev, cumulative) : Tr v i chun (normal distributionc s dng trong vic thm c vic kim tra gi thuyt  chun NORMSDIST (z) : Tr v n tc (standard normal cumulative distribution function   lch chu o cn tc POISSON (x, mean, cumulative) : Tr v  c  ng bin c s xy ra trong mt khong thi gian nhnh t c m gia hai gii hn STANDARDIZE (x, mean, standard_dev) : Tr v tr chu i biu th b Excel 2010 7 TDIST (x, degrees_freedom, tails) : Tr v t c ph   c sut. TINV (probability, degrees_freedom) : Tr v  t ci Student. t kt hp v Student. WEIBULL (x, alpha, beta, cumulative) : Tr v ng s dng trong ph tin ci th a mt thit b. ZTEST (array, x, sigma) : Tr v t m z. c. Nhóm hàm về tương quan và hồi quy tuyến tính  s a hai m nh mi quan h c   lch ca mi cm d liu, r      b d hin i quy tuy  ng d ki d kin hi INTERCEPT m giao nhau ca mng thng vi trc y b d c LINEST (known_y's, known_x's, constng bng i thi ng thp nht vi d liu, ri tr v m ng th  dc mng. Excel 2010 8  s p vi d lic cung cp, ri tr v mng    dc mng PEARSON  s t ch m ng t -n 1, ph m rng quan h tuya hai tp s liu  s  m d li  s ng hi quy tuy m d liu STEYX (known_y's, known_x's) : Tr v sai s chun ca tr d i vi mi tr x trong hi quy. TREND (known_y's, known_x's, new_x's, const) : Tr v  theo xu th tuyn  . Excel 2010 1 Các hàm trong excel a. Nhóm hàm về thống kê . m s  ng) trong danh  Excel 2010 2 ng trong m m