Tự học Excel 2010 part 13 pps

i bp lc
li. V, m i #DIV/0! nng 0, ho
li #NAME? nu A hon ti #REF! nt vi A hoc B b

i cn phi li dng c s t ra m
hung: nY LI.
  u xy ra l
MS Excel 2003 tr v t biu thc. Nu biu thc
p li, ISERROR() s tr v  u biu thi, ISERROR() tr v
 FALSE.
i IF:
=IF(ISERROR(expression), ErrorResult, expression)
Nu thi,  l ErrorResult (mng,
hoc mc li, s l biu th
: =IF(ISERROR(A/B), "", A/B)
t tin khi pha IF() vi nhu thc hai ln:
mt lt ln  tham s value_is_False ca IF()
 t tin v dc
c 
bu th c.
c s bt ti
m
: IFERROR(value, value_if_error)
_____value: Biu th s i
_____value_if_error: kt qu tr v ni
Nu biu thi, IFERROR() s ly biu th
biu thc value_if_error.
c =IF(ISERROR(A/B), "", A/B) n 
=IFERROR(A/B, "")
Bn thy, IFERROR() ngn g hiu.
 ci s



c, mi
: OR(logical1 [, logical2] [, logical3] )
logical: Nhng biu thc s 
Nu tt c u th tr v   cu
th tr v  TRUE.
Ging  t c ch n mu

:
=IF(OR(B2 > 0, C2 > 0), "1000", "No bonus")
N  B2 hoc  C2 l c ng) 1.000,
u c u nh ng chi c.
 nhp trc tic, Excel s hit biu th
 
B qua nh li khi chc
: Ct Gross Margin (ct D) ca ba mt s p li chia cho 0
ng.
 ng ca ct D, k nhi #DIV/0!, phc m
sau:
{=AVERAGE(IF(ISERROR(D3:D12), "", D3:D12))}
u gp nhng rng)
a ct (Determining the Column Letter)
t qu  ca c
kt qu s 
n mun kt qu a ct ch  (B ch i

t v i s t trong by t n Z, t
i t
ma ch tuyi ca m

$A$2, hoc $B$10

Vt tham s   
n ch nh, nu b tr l
thc CELL().
 a ch tuyi ca m c CELL() vi

a cng ch m gia hai d
a ch tuy
B  v  a ch tuyi ca cell:
=MID(CELL("Address"), 2, num_chars)
  2, ho (: A, AA hoc
AAA). Vn d
FIND("$", CELL("address"",A2), 3) - 2
Gi a da ch tuyi c
b v  a ch 
Ti sao phi tr  ch ra v t con s) ca du $ th a
ch tuyi ca cell, tt,
phi tr  bt qu s   ct (1 ch, 2
ch hoc 3 ch)
nh s 
=MID(CELL("Address"), 2, FIND("$", CELL("address"), 3) - 2)
c.
Nu mut ti mn ch via ch (hoc m 
chia ch a cell mu
, mua cell AGH68, b
=MID(CELL("Address", AGH68), 2, FIND("$", CELL("address", AGH68), 3) - 
L t ng
u danh mc danh mc l b
t u ct hp vi mt con s.

 t y rt d  dng nh 
i.
Gi s danh mc ca nm  cu ti cell A2.
 a danh mnh dng
ch in hoa, bc:
UPPER(LEFT(A2, 3))
Tip theo, tn d ca nh l t ng: ROW(A2),
nh dng sao cho nhng con s  s, bc:
TEXT(ROW(A2),"0000")
nh:
=UPPER(LEFT(A2, 3)) & TEXT(ROW(A2), "0000")

Tr v  c y beta.
 u s bi ph
ng th xem TV trong mng hn.
: = BETADIST(x, alpha, beta, A, B)
 gi  
alpha & beta : Tham s ci.
A : Ci ca khong x, m
B : Ca khong x, m

* Nt k i s , BETADIST() tr v  li #VALUE!
* N() tr v  li #NUM!
* Nu x < A, x > B hay A = B, BETADIST() tr v  li #NUM!
* Nu b  s d
beta chu

Tr v ngho c 
t, )
 hoch d  ng s ln m rt, bic

thi gian b sung k v bii.
: = BETAINV(probability, alpha, beta, A, B)
t ca bin c 
alpha & beta : Tham s ci.
A : Ci ca khong x, m
B : Ca khong x, m

* Nt k i s , BETAINV() tr v  li #VALUE!
* N v  li #NUM!
* N v  li #NUM!
* Nu b nh A = 0  s d
beta chu
* BETAINV() s d i. Vc,
BETAINV() lp cho ti khi kt qu i
t sau 100 ln l tr v  li #NA!
:
BETAINV(0.6854706, 8, 10, 1, 3) = 2

Tr v t ca nhng ln th i nh 
 ng c , khi kt
qu c ch t b c lt
c th nghim.
  t khong hai pha tr 
trai.
: = BINOMDIST(number_s, trials, probability_s, cumulative)
Number_s : S ln th .
Trials : S ln th.
a m.
Cumulative : M  t.
= 1 (TRUE) : BINOMDIST() tr v  l

number_s ln nht.
= 0 (FALSE) : BINOMDIST() tr v 
su l

* Nu  th c ct b phn l  tr  
* N, BINOMDIST() tr v  li
#VALUE!
* Nu number_s < 0 hay number_s > trials, BINOMDIST() tr v  li #NUM!
* Nu probability_s < 0 hay probability_s > 1, BINOMDIST() tr v  li #NUM!
:
BINOMDIST(6, 10, 0.5, 0) = 0.2050781
BINOMDIST(6, 10, 0.5, 1) = 0.828125

Tr v t mi chi-squared.
i chi-squared kt hp v chi-  
v k vng.
, mm v di truy gi thit rng th h k tip cng s tha
ng mt tp h c v
tr k v thc gi thi
: = CHIDIST(x, degrees_freedom)
  i.
degrees_freedom : S bc t do.

* Ni s , CHIDIST() tr v  li #VALUE!
* Nu x < 0, CHIDIST() tr v  li #NUM!
* N n th b ct b  tr
 
* Nu degrees_freedom < 1 hay degrees_freedom > 10^10, CHIDIST() tr v  li #NUM!
c: CHIDIST = P(X > x), vn ng-
squared.

:
CHIDIST(18.307, 10) = 0.050001

Tr v ngho cn.
: = NORMINV(probability, mean, standard_dev)
t ng vi chun
 ng ci
 lch chun ci

* Nt k i s , NORMINV() s i #VALUE!
* Nu probability nh c l i #NUM!
* Nu standard_dev nh c bng 0, NORMDINV() s i #NUM!
* N  chun.
* NORMINV() s dp l u NORMINi t
sau 100 ln l i #NA!
Chương 4: Khai Thác Cơ Sở Dữ Liệu
4.1. Sort (sắp xếp) và Filter (lọc)
Sort (sắp xếp) và Filter (lọc) là những tính năng cho phép bạn thao tác dữ liệu 
 
Sắp xếp
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