Tự học Excel 2010 part 8 docx

 nhn ca tp s liu, biu th mc nhn hay mc phng
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.
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o
 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
tr 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
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 
beta.
BETAINV (probability, alpha, beta, A, B) : Tr v ngho c 
su
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i
chi-squared.
CHITEST (actual_range, expected_range) : Tr v  ct t i chi-squared
 bc t ng.
CONFIDENCE (alphang tin cy cho mt k vt
CRITBINOM (trials, probability_s, alpha) : Tr v  nh nhi nh th
  bng dt cht
ng
EXPONDIST (x, lambda ng thi gian
gin c
FDIST (x, degree
p s liu m 
o c
su  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 
 

quan ging s liu
GAMMADIST (x, alpha, beta, cumulative) : Tr v gamma 
 lch
GAMMAINV (probability, alpha, beta) : Tr v ngho c
 
HYPGEOMDIST (number1, number2, ) : Tr v t ca mt s ln

o c
lognormal ca x (LOGNORMDIST)
LOGNORMDIST (x, mean, standard_dev) : Tr v 
logarit t i vi  
NEGBINOMDIST (number_f, number_s, probability_s) : Tr v i nh th v 
su n tht b
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
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   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
standard_dev
TDIST (x, degrees_freedom, tails) : Tr v t ci t), trong
   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a hai

  lch ca mi cm d liu, r
 
  
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ng
 d c
LINEST (known_y's, known_x's, constng b
i thi ng thp nht vi d
liu, ri tr v m ng th dc mng.
 ng
p vi d lic cung cp, ri tr v m  
 dc mng
PEARSON  s t ch m
th 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

d. Các hàm tài chính - financian functions
ACCRINT (issue, first_interest, settlement, rate, par, frequency, basis, calc
t ch nh k
i vi ch 
k hn
AMORDEGRC (cost, date_purchased, first_period, salvage, period, rate, basis) : u hao
trong m i hn s dng cn (s d thng k

u hao
trong m  d thng k 
  t u k t

  m c 
k
COUPDA  
 tip
COUPNCD (settlement, maturity, frequency, basis) : Tr v mt con s th hi
tip k t 
COUPNUM (settlement, maturit lt phi tr trong khong
t n
COUPPCD (settlement, maturity, frequency, basis) : Tr v mt con s th hi

CUMIPMT (rate, nper, pv, sti ti tr i vi
khon vay trong khong thi gian gi
CUMPRINC (rate, nper, pv, start_period, end_period, type) : Tr v tin vi tr i
vi khon vay trong khong thi gian gi
u hao cho mn s d
m dn theo mt mc c nh (fixed-declining balance method) trong mt khong thi
nh.
DDB (cost, u hao cho mn s d

m d-declining balance method), hay gim dn theo mt t l 
mt khong thnh.
DISC (settlement, maturity, pr, redemption, ba l chit khu ca mt ch
DOLLARDE (fractional_dollar, fraction) : Chuydollar  d 
dng th
DOLLARFR (decimal_dollar, fraction) : Chuy dng th 
 d
i hn hiu lc
Macauley dng mi hn hiu l hin ti ca
n tin m s phn hi li nhun
c u)
t thc t h
hng s k 
 k hn ca s c chi tr c nh
theo k t c nh
 k hn ca mt vng mt
chu k hn cho mi)
INTRATE (settlement, maturity, investment, redemption, basist cho mt chng

IPMT (rate, per, nper, pv, fv, type) : Tr v khoc
chi tr c nh theo k i
Ii sut nt chung tin mc th hin
b s
 ti ti mt k i vi mt kho
su s tin gc phi tr cho k 
MDURATION (settlement, maturity, coupon, yld, frequencyi hn Macauley sa
i cho chng m
 sut doanh li ni ti trong mt chu
chuyn tin mt theo chu k
NOMINAL t thc t 

 
 k h tr khong chu
k, s tin tr  sut li tc c nh
a mt kho dng t l
chiu khu vn tr k hn (tr p (tr 
ODDFPRICE (settlement, maturity, issue, first_coupon, rate, yld, redemption, frequency, basis) :
 ng ma ch  (ngn h
hn)
ODDFYIELD (settlement, maturity, issue, first_coupon, rate, pr, redemption, frequency, basis) :
Tr v li nhun ca mt ch  (ngn hn)

 ng ma ch u cul (ngn
hn)
i
nhun ca ch cu (ngn hn)
n phi tr i vi kho
tr n
n vt k hi vi
mt khoc chi tr c thc hinh k vi mt
i
PRICE (se ch
ng mi tc theo chu k
 ng m
$100 ca mt cht khu
 ng m
ca mt chn
 hin ti ca mt kho
RATE t mi k trong m
 tin nh
ht ch

ng thng) ca m
sn trong mt k
 i cnh k nh
i nhung v
phiu kho bc
 ng mu kho
bc
i nhuu kho bc
VDB (cost, salvage, life, start_period, end_period, n s
dng trong nhiu k
i sut nt long tin mnh k
 ng tin mnh k
YIi nhui vi
ch nh k
i nhun hng
t khu
YIELDMAT (settlemeni nhun ha chng
 n
e. Danh mục các Các Hàm Quản lý Cơ sở dữ liệu và Danh sách
 trong mt ct ch
 ca m d liu, theo mu kic ch nh.
a s liu trong mt ct c
tr ca m d liu, theo mu kic ch nh.
DCOUNTA (database, field, crng" trong mt ct c
 ca m d liu, theo mu kic ch nh.
 t mt ct ca m d
liu, khp vu kic ch nh.
DMAX (database, field, criteria) : Tr v tr ln nht trong mt ct ca ma
m d liu, theo mu kic ch nh.
DMIN (database, field, criteria) : Tr v tr nh nht trong mt ct ca ma

mt  d liu, theo mu kic ch nh.
 trong mt ct ca ma
m d liu, theo mu kic ch nh.
 lch chun ca mt tp hp theo mu, bng
 d liu trong mt ct ca ma m d liu, theo mt
u kic ch nh.
 lch chun ca mt tp h p
hp, bng  d liu trong mt ct ca ma m d liu,
theo mu kic ch nh.