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Bài giảng Tin học chuyên ngành dành cho khối B - ĐH Nông nghiệp Hà Nội

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D
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to6n theo
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Trong m6t
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ta mu6n
thuc
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cric t6ng hop

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don vi, theo
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:
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tidn
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:
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xuat nlen hop
thoar
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trong
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nd.y c6 chtc ndng
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At each
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Trong
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function:
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Trong
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Add subtotal
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k6t
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Remove
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tinh duoc.
3
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hai
chiiju
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Table
li cdng
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Excel_ VI
du c6 CSDL ph6n
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cho phdp
tinh ciic hdm

thdng k€
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d
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Column
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truong
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toiin vao 6 Values
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dq Row
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Values ld So tien
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chu6t
tr€n ten t
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midn Values, sau
d6 chon
Value Field Settings
c6
hdp
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chqn
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table
);
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table
3-
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(Pivor
table
Cr{eh lim:
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-,
t .
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t6ng s6 ngudi,
ddng theo khoa,
cdt
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):
j
inh iong rien
iinh, dong
theo b0 m6n,
cot theo
khoa:
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lnsert
/ Pivot Table c6
cia budc I nhu sau:
Chon
Ok sang
buo'c
2 nhu sau:
t0
2-

Tao bing
t6ng k6t:
T{nh t6ng
ti6n linh,
ddng rhed bO
m6n, cQt theo
khoa
+
Chqn miin
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+
Chgn
[nsert / Pivot
Table cObudcl
lfung
tu nhu treh.
Budc
2 nhu sau:
II
3-
Tao bdng
tdng
kilt :
Tinh
t6ng
sii
ngudi,
ddng
theo
khoa,

c6t
theo
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m6n
+Chpnmi€nA2:El6
+
Chgn
Insert
/ Pivot
Table
c6 budc
I
tuong
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2
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4 -
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trang
tinh
4.1
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tham
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in
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page

Layout
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pri
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c6c
m{-rc
Page
Layout
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print
tiltes
sC
c6
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wide
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hang
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vd # ring
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Paper
size =
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Print
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luong in
chfm
56 dpi
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cAng
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min vi

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First
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number
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Center
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trang
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=
chidu
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Vertically
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Header/
Footer
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Chgn
cdc
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none
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Sheet
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midn
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c6 rhia dich
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office
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chon
Print
sC
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c6
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Printer
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trang
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tinh
chgn,
Entire
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= cd
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= s6
lugng
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=
dua
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ra
tep.
l:1.
Bai
Bii tip chuong I
so
Ye tlen t6 trong c6c
tlon'vi nhu sau:

: Cho bdns sO lieu vC tien thu
cia cdc
a'6
Don vi Tidn thu lin I
Ti6n
thu lAn II
3 4
413
206
2 2
492
159
4
608 175
2 2 449
183
574 236
3 4
498
r80
3 3
201
626
201
3 2
418 284
2
544
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671 197
2 l 615 lE2
3 5 443
150
643
194
2
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-
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2
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481 230
3 2 534
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3
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415
244
Y€u sau:thgc hiQn c6c
c6ng
viQc
l- Sip x6p theo rlon vi t6ng dAn, td i6rg
din, tiAn thu lin 1
gi6m
ddn.
2- Sip xi5p theo 16
gidm

din, don vlting d6n, tidn thu
lin
2
tang ddn
3- Dirng Auto Filter d6 lgc ra c6c bin
ghi
thdo
mdn:
(doa
v!
=1.ho{e
don vi
=5)
va
(t6
<3).
4- Ding Auto Fiher tl€-lgc ra c6c bin
ghi
thio. mdn
:
.
(2<
don vi
<=4)
va (t6
<2
hoac t6
=l)
vi
(ti€n

thu lin I
>500).
5- Dirng Advaced filter cl6
loc ra c6c bdn
ghi
thdo mdn:
(tlon
vi
=l
hoic don
vi
=4) vd
(
td
<3)
vd
(500
<
ti€n thu
l6n 1<600
)
6- Dirng Advaced filter clti lgc ra:
(1<
ilon
v!
<=3
hoic
rlon v!
=5)
vd

(to
=l
hoac t6=3)
ve
(500
<
ti€n thu lin l<600).
7- Dirng
ham kong co s0 dfr lieu
d6 tinh t6ng tidn thu lin I cria
t6
I thuoc
don vi 4
8- Dirng
hAm trong co sd
df, licu dia tinh trung binh tidn
thu
lin
II cna t6 I hoEc td 2 thuoc
don vj
4
9- Dirng
him trongcos0dt li€udiid6m
xem c6baonhi0u bin
ghi
cia
t6 I thuOc don vi I
hodc
5
l0- Tinh

t6ng tiEn thu l6n l,
t6ng
ti€n
thu l6n 2
phdn
nh6m theo
don v!
1l- Tinh
trung binh ti€n
thu l6n l, trung
binh
tiin thu l5n 2
phdn
nh6m
theo t6.
12- Tao
birng t6ng ktit hai chidu tinh t6ng tidn
thu lin l, ddng theo don vi, cQt
theo t6.
l3-
Tao bdng t6ng kilt hai chi,iu tinh hung binh
ti6n thu lin 2, ddng theo t6
,
cot
theo
dcn
vi.
14-
Tao bing
t6ng kiit

hai
chi€u
tinh sO ban
ghi,
ddng theo t6
,
c6t theo don v!.
15
Bii
2: LQp
trang tinh
dii thirc
hi€n
cric
tinh ro6n
sau
B
c
D
E
1
B6no
nino su
t lua thi
nshiom
2
SN
Ten chrl h6
Hqp
tdc xa

Gi6no lua
Ns
2005
Ns
2006
3
1
L6
An
Gi6no
1
1000 '1200
4
s6
Minh
Gi6no
1204
1000
5
3 D6
ftei
A
Gi6no
1
1400
6
4
n
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c

Gi6no 3
150r
16r
7
5 LO Mai
B
nq1
120
130
I
6 Tran Anh
utono 2
1300
lAn
a
7
!90
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B
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1500
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10
8 )0'Tlu
B
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1
1600
l4
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c
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1
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.l
qnn
121
t"
10
NgO Tuan
c
(,rono
J
1600
1700
l-
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him
trong
co
sd
d0 li€u
trii
tinh
t6ng
Ns 2005
rta
giiing
r rhu6c

hq?
tiic x5
A hoic
c.
2-
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ham
hong
co
sd
dt li€u
.td
tini trung
blnh Ns
2006
cU-gi6ng
2 holc
gi6ng
:
'
l;
!,t1c him
trgne
co
sd
da liQu
tti5
d6m
xem
c6 bao

nhi6u
ben
gii
da
gi6igj
i"i"
gia"g
z
c6
Ns
2005
>-1300.
+-
siip
*dp trung
il*
theo
Ns 2006 girim
dan,
hsp riic
xa
tang
ain,
gi6ng
idng
aan.
5-
Dtng
Auro
Filtar

dr3
lgc ra
c6c
biin
ghi
rh4o
min:
-
(H-qp
tdc_x6
A holc
C). vd
(1200<=
N, ZOOS
.t
OOO)
6-
Dirng
Advaced
filter
d6 lgc
ra
cdc
bAn
ghi
thio
mani
-
(Hop
tdc

xn
<
C) vd (Gi5ng
I ho6c gi6ng
3
)
vi
(1300<
Ns 2006
<=l
500)
7- Tinh
trung
binh
Ns
2005,
Ns
2006 ptran
nhOm
rtreo gidng.
o
'r!-L.4
rr
-^^,
.
-
d- i
rnn ior-rg
iis
Zuiio phan

nh6m
iheo
hgp
tdc
xa.
9-
D€m
sd
ngudi ph6n
nh6m
theo
gi5ng.
10.'
T4o
bdng
tong
kilt
hai chidu
tinh ftune
binh Ns 2006. ddno
rha^
hd-
r;.
v^
^a,
.L-^
gi6ng.
rvrr'
lrrre rrYv
'lqw

^a
'
lYr ursv
I l-
Tao
bdng
t6ng
kdt hai
chiAu
tinh
s6
ngudi, ddng
theo
gi6ng,
c6t
theo
hqp tdc
x6.
l6
CHUONGII
CACHAMTH6NGKT
1. C{c hnm
th6ng kA
(Stutistical
Fanctions
)
B6m
nit &j
tr€n ToolBar
(

ho{c
chgn Formulas
/
Inserrr
Function
)
se
xudt lien lop
tho4i,
d
Or Select
a category,
chgn Statistical,
se c6 cec him vA
tinh
th6ng k€
sau:
AVEDEV
AVERACE
BETADIST
BETAINV
BINOMDIST
CHTDIST
CHIINV
CHITEST
CONFIDENCE
CORREL
COUNT
COUNTA
COVAR

SRITBINO]VI
DEVSQ
lExPoNDrsT
FDIST
FINV
FISHER
FISHERINV
FORECAST
FREQUENCY
FTEST
CAMMADIST
CAMMAINV
GAMMAI,N
GEOMEAN
GROWTH
HARIvtEAN
HYPGEOMDISl'
INTERCEPT
KURT
LARGE
LINEST
LOCEST
LOGINV
LOCNORMDIST
MAX
MEDIAN
MIN
MODE
NECBINOMDIST
NORMDIST

NORMINV
NORMSDIST
NORMSINV
PEARSON
PERCENTILE
PERCENTMNK
PERMUT
POISSON
PROB
QUARTILE
RANK
RSQ
SKEW
SLOPE
SMALL
STANDARDIZE
STDEV
ISTDEVP
lsmvx
TDIST
TINV
TREND
TRIMMEAN
TTEST
VAR
VARP
WEIBULL
ZTEST
Sau
tl6y li

j
nghia
mot sd ham
rh5ng
ke th6ng dqng:
2.
Girii thi€u
mQt s5
him th6ng
kE
2.1.
-
Cric him
AVERAGE,
COUNT, MAX,
MIN,
STDEV,
VAR
AVERAGE
CHIINY
CHITEST
CORREL
COUNT
COUNTA
COVAR
FINV
FREQUENCY
FTEST
LINEST
LOCEST

MAX
MIN
STDEV
TINV
TTEST
Cho trung
binh
cia
Cho
ohuone sai cia miln
Cho
tri cUa hem
I
vA phdn
b5 xic suit
Cho [61
qui
kidm rra
1
vA
tinh .loc
lip cia 2
dey s5
Cho
hf s6 tuong quan giiia
2 day s6
D€m
s6 lugng
ciic 6 c6 rrj
ki6u s6 rrong

miln
DCm
s6
luong
cec
6 khdng k6ng
trcng m
ian
(Count
AII,
Cho hiQp
phuong
sai
(covariance)
Cho he
s6 Fisher
Cho tln suA ph6n
b5
cria
cOt s6
(phii
c6 miCn
ph6n
d
-
Bin range)
Cho k€t quri
kidm trc
Fisher
(F-test)

Cho cac tham
s6 A, B cna
ham h6i
quy
ruy6n
tinh
y
- Ax
+B
Cho cdc
tham s6 cta
hAm h6i
quy
d?nB
m[
y:
(Br(Ml
"
xt
)*(M2
"
x2)+
)
Cho
tri cuc tlai
cria mi6n
Cho tri cuc
tiCu cia mi6n
Cho
dti lgch

chuin
Uho
ne so student
(
1)
Cho k6t
qud
kidm
tra Srudenr
(r-tesr)
AVERAGE
Cho trunE
biulcua
miin
COUNT
Dem
s6 [rong
cac 6 c6 tri
ki6u s6 trone miin
MAX
Cho tri clrc dai
cria
mi€n
MIN
Cho
t{ cuc tiau
crla nridn
STDEV
Cho
dd

l6ch
chuin
VAR
Cho
phuLrng
sai cria
mi6n
t7
*
C0
ph6p
cda him:
TGn_htm(midn
dii tiQu;
C6c
hdm
niy
chi co mot
diii s6
Ii midn
d& li6u n€n
c6 thii nh6p
truc
ti6p.
Vt
d9
nhAp. vdo
mOt 0 c6ng
th0c:
=vAR(C6:C50)

cho phuo.ng
sai crja
cric
0 s6
trong m i€n
C6:C50
C6 the b6m
ntt il:,
rdi d Or
Select
a caregory
chgn Statistical,
d Select a Function
chon
t6n
him, chon
OK
sc c6 hQp
thoqi
rlii nhap
d6i
s6.
dtr l: Cho
sau:
x
3 2
1
4
5
6

I
'7
"11
10
12
1.0 3.3
4.0
6.5
.8.
5
8.
0
10.
3
12.
0
14.
0
15.7
12.
0
19.
0
HEy srl dgng
cric
him de
linh
c6c
k€ co
ban.

2.2. Ilim
CORREL
vi COVAR
Hem
CORREL
rinh
hQ s5 tuong quan giiia
2
ddy s6.
Hdm
COVAR
tinh
hiQp
phuong
sai
gita
2 ddy
s6.
*
Cri
phrip:
T€n_htm(miln
d& lipu
dty sd
l, midn dt
[eu
dey sd
2
)
so

*
C6
thd ding
cich
khdc:Dich
tdi
6
ghi
kdr
qua
rinh
+
B6m nrit #
+
ChQn Statistical
d Or Select
a category.
+
Chgn
CORREL
d Select
a Function.
Chgn
OK
c6
HT
nhu
bdn
d Arrayl (mi6n
day

s6 thti
I
)
6
Array2(midn
ddy s6
ttli Z
;,
+
Chsn
OK di5 kiat
thric.
*
Him
COVAR
tinh
tuong tq,ham
CORREL
Vidg:56
IiQudvidu
I,haytinh
hgs6tuongquan
vdhi0pphuongsai
gifia2ddys6xviy.
2.3.
IIim
FINV
Hdm ndy
cho
gi6

tri
F c6 ph6n
b6 xric xu6t theo quy
lu{t
Fisher.
Vi
dg,
ph,en
tfch
su,phdn
b6 v6
rhu nh6p
d M! vi
Canada
d6 xem
2
nuoc d6
c6 cirng c10 ph6n
triLn
hay
khdng.
iCri
phrlp:
.FINV
(
nrric_xdc_suit,
b4c_tq_dot,
bic_tu.
do2
)

m.uc_xac
-suat
ld xAc
suel gdn
voi ph6n
b6
Fisher (thLrong
=0.05
ha1
0.01)
bqc_tr,r_do
I
Idb6ctLrdorris6
(the
nurnerator
degrees-o
f lreedom
).
bdc_tu_do2
ldL
bdc tu
do rnlu
s6
lthe
denominato-r
degrees
offreedom).
t8
Vi
du :

FtNV(0.05,4,12)
=
3.25916
'
T4,.4
l/
15,9t
,
40)

I
,7
lS
2.4. Hirn FREQUENCY
Him ndy,tinh
tAn su6t tren
day sii, dga rheo mi6n phen
t6
(bin
range) 116 tlinh.
*
T4o mi6n
pher
i6
(bin
range)
: Mi6n
phari
i6
B miAn dinh k[onng

ph6n
chia dir liQu,
t6
chric theo cQt.
-
Chuln bi cin tinh:
Max, Min, n
li dung lfgng
rirlu ta dtng ham
aount
dd tinh
R
ld
bi€n tlQ, R
=
Max
-
Mia
k
ld s6
t6. t=
5*
tog(n).
tdm
rrdn k
hln
khoang
crigh
td,
h=R/h

lim
trdn h.
: '
-
T4o mi6n plan
t6
1c6t
ninl:
Gi6
h! 6 ddu ln xo>
min,
gi6
tri ti6p
theo ld xl= xo+h,
,
gi6
tricu6i
ld xk<Max.
;;;;;;
;'O'H; nh6p
x0. 6
ti6p rheo nhrip'xl,
chsn
2 6 xo
vd
xt. sao
chdp. cho
rdi khi
g{p
gi6

trixk
<
Max
C6 the
tao mian
8in bang
crich khdc
nhu sau:
-
.
- Nh{p
gi6
tri dilr
x0 vdo
0 ddu cta miim
Home
/
Filffseries
khi tl6 sc
-
Chon
Ok.
*
Tlnh
tin sudt:
-
Dua
con
trd tdi
6 b€n

phdi
cira x0.
-
g5m
ntit frj
I Chon
Statistical
d Or Select
a category /
chon FREeUENCy
d Select a
iunclion
.
('hun
L)K
l9
C6 HT:
d Data_array,
nhfp toq
dQ
midn
chua
day
s6,
0 Bins_array,
nh6p
mi6n
ph6n
t6
Chgn

OK
ad
tdt
ttric
K6t
qui
s€
c6
gi6
tri dAu
ti€n
cia
dEy
tin
sudt.
-
Tinh
tin
sudr
cho
cdc
6
cdn
lgi:
Chon
6 vLa
tinh
vi
c6c
6 cdn

lai
phla
du6i
. c6 cr)np s6
lusng
6 nhu
Bin
ranse,
s6
F2,
.ai
sr,iri
i
-cirH
J
:;r,
#;":;:'.
,i,."]J,;,
ilr"JH,il
tl6
chon.
Vi
d!:
55
li6u
rrong
vt
du
l, t{nh
tin

su6t
cia
y,
k6t
qui
nhu
sau:
v
1.0
3.3
4.O
6.5
8.5
8.0
't0.3
12.O
14.A
15.7
12.O
19.O
mn
't.0
Lam
tron
Bin
TAn
suSt
max
19.0
2

1
x<=2
n
12
6
2
2<x<=6
18.0
10
6<x<=
10
k
5.4
14
4
10<x<=14
h
4
18
I
'14<x<=18
20
2.5.
Him
LINEST
so hot
(
Tinh
hdi
quy

nrydn
tinh gifta
2 day
sO
lieu vi
cho k& qud
dang
y=ax+b
vrli aldh€
so
hor
quy.
-
BAm nrit E Chon
d
Or Select a
Chon
LINEST
d Select a Function.
Chgn OK
-c6HT:
d Known_5r's,
nhdp toa
tl6 midn d6v
s6
v,
(
biiin
phs
thu6c

)
d
Known_x's,
nhdp toa
tl6 midn
d6v s6
x
(
bi6n
dOc llp
)
- Chsn
OK
d6 k6t thric,
c6 tri cta
a
-Tinhgidtri
b:
Chgn2 6 kd
nhau
theo heng,
c6 I.
,
rdi Shift
+.Ctrl
+J
dugccaavAb
Vi
dtt: Sii
liQu rrong

vi du
l, dnng
hnm tinesr
tim.duqc phuong.trinh
h6i
quf
tuyiSn
ttnh c6
dang
y=
1.40035x+
0.422't27
2.6.
Him
TIIYV
Cho
gi6
tri
t theo phan
66
Student
v6i mrlc
j
nghia
vi bac tU
do nh6t
dinh.
Cri
phfp
:

TINV(mric
f
nghia,
s6_t6c;q_ao;
Vi
dg :
=TINV(
0.05,
12
)
cho k6t
qun
ld 2_.18
2l
'x
2
3
4
5 6
7
fl
9 l0
Y 23.2
31.4
39.8
50.2
62.9
76
92
to5.7

t22.8
131.7 l5l
Biri
t$p
chuong
2
Bai I : Cho
bang si5
lieu
sau:
l
-
Tinh cic
him
AVERAGE,
COUNT,
MAX,
MIN,
SDEV,
VAR
cho
x,
y.
2- Tinh hQ
sri tuong quan,lrifp
phuong
sai c0a
x vd
y.
3-

Tirn dudng
ft6i
quy
tuy6n
tlnh giila y
vd
x.
4- Tinh
tAn su6t
cta
y.
5-
Tlrn
gin
tri
phAn
b5 F v6i
mrtc nghia
0.05,
bac tg
do
I le I
l, bec tu
do 2
h 15
6-
Tim
gi6
hi
phen

b6
r vdi mrlc
nghTa
0.05,
b&
ti do
ln 18.
Bii 2:
Cho
bdng sii
lipu sau:
l- Tinh
c6c him
AVERAGE,
COUNT,
MAX,
MIN,
STDEV,
VAR
cho
s6
b6ng, ndng
suAt.
2-
Tinh hQ
s6 tuong quan.
hi€p
phuong
sai
cia

s6 b6ns
vd
nins sudt.
3- Tim
drdng
I6i
quy.tuyrin
tinh
gifa
nang
su6r
vd s6i6ng.
-
4-
Tinh
t6n su6t
cria
sd
b6ng.
5-
Tim
gie
fii
phen
b5 F
vdi mric
nghia
0.05,
bac tu
do

I Ie 23,
b4c
lu do
2 ld
5.
6- Tim
gi6
tri phin
b6
t vrii
mri'c nghia
0.05,
bdc
tu do
lA 25.
lo Doflc
184
't
86
188
164
'164
165
166
163
164
165
158
'159
157

Ninq
surt
4 4.5
5
4 4.3 3.7
4
1.2
3.9
4.2
4.5 J.D
3.8 4
22
CHITONG
UI: CAC
TH6NG
K6
CC' BAN,
TUONG
QTIAN
VA
HOI
QI
Y
phAn
mdm
Excet
cho nhdp
ph6n
rich
df

IiCu
n6i
chung.
dii
tieu
sinh
hgc
vA
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ndrie?
n6i
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mgt crich
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ro"
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kh6ng
c6
mqc
nay
thi

chon
nrit office
buir",
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.t
nn
Excel
Options,
chsn
Add
tas,
chon
Anatvsis
Toollqk
yBA
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.ai aafrrri,ni'Srr"iii
ra
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ty
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k€
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chuin.
sai s6 .huin,
urre
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Excel
hdp
thoai:
c
9n
Data
>Data
Analysis>Descriptive
slalistics'
vd
klrai
b6o
cric

muc
sau
trong
-
Input
range:
mi€n
d[
li€u
k6
cd
nhan.
-
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by:
cotrrnn
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,
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Labels
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first
row
: Erinh
d6u
{ vao
6 nay
ndu
cO

nhdn
o
ddng
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Output
range:
midn
ra.
-
qum1ary
Ctatistics:
Denh
ddu
{
n6u
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cric
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k€
co
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-
Confidence
level
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";u.i;;;'
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*
-
K-th
largest:
I
(l
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2 s6
b, ,r,ii
-
-
-
-
K-rh
smallest:
I
(l
Sd
nh6
nhdt,
2 s6
ntro
ntri
y
Vi
dg
l:

Khao
s6t
vA
cric
dAc
tinh
cua
hia
ta
thu
tlugc
bdn
cQt
s6
lieu:
dAj
b6ng (cm),
p1000
(trgng
luqng
1000
hat),
s6
b6ng/6
fti
nehiem,
nang;ai'ii"f
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i;0.
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tri
nhu
trong
htnh
tint
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Data
>
Data
Analysis>
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sau
d6 khai
b6o
hQp
tho4i
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s6
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vi
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lhoal
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I
p1000
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Varbtce (trLr:ng
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, 0,97
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thu duoc
cho
trong
hinh
I.2
sau ddy:
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I.2.
que
k0 md
ti
cric
dflc
tinh
cria
ftla
1, Dr"a- .:^L
^t^
tl.

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u. r
er
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sd(
l{E. uu4ln itrr.rn
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s0
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xdt so
bO tren
cdc th5ng
k€ thu
dugc
nhu
sau:
-
Mean
cho
ta
gi6
tri
trung
blnh
cria
ddy
sd.
-
Median
cho

giri
rri
tlidrn-giiia
cna
dav
sii.
NCU
2
siA
tri
Mean
vi
Media-n
x{q
llritrau
ra thi
s6
lieu
le
can d6i.
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vi
du
I c6c
c6r
s6 Iieu
le
can
d6i
tru cot.\6

b6ng"
hoi
bi ICch.
",,
,., ,-,,:^PI::rii"iT6:,fitdq
iecn
cnudn
m6u cho
ra.bi6t
d6
ph6n
trin
cia s6
lifu
quanh
q,:.rl
,Iulq
brnh,
ncu
c6c
giii.tri.ndy
cdng
nhd
chring
t6
s5 ligu
cang
tap
rrung.
Nguii

ra
tinh
thErn
hc
s0
bi€n
dong (CV)
dC
kdt luan
d-o
ph6n
tdn
c-ria
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ro fr;
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rrung
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ti€u pnan

t6n.
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rhi
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pr,org
ihi'"ghiem
thi
cvyo>
t0%
l:^r: i:q: fii
En.
lheo gili
rri
c0a
CV c6
th6
dirng
cric
t&
dd chi
muc?6
i<triic
nhau
nhu:
r6t
r:rp
rrung.
rep
rrung,

ruorg
d6i
tap
trung,
r6t phan
t6n,
phan
hin,
tuong
d6i phan
tiin.
-
Kurtosis
tldnh
gi6
.tusng
mat
dO phan
phiii
cUa
day
s6 lip'u
c6
nhon
hon
hav tu hon
duung
mdt
d6
chudn

11c,
Ni1
rrons
khoans
tr -2
diin
2 thi
c6 ,ua
*r ,a
rrdr'ii,
_i
.,,liail
'-"
. .
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skewness
d6nh
giri.dudng
phdn
phiSi
lech
tr6i
hay
l€ch pfrai.
N6u
rroig
U,oang
ttr
_Z
der.

-
riri
c6
th€
coi
d0
l6,ch
xdp
xi
chudn
Confidence
Level'dLroc
hiiiu Id
nu.a.d6
dii
khodng
tin
c.iy.
Cii
sri Confidence
l.:,] :,, I i1' ll"il*
j,,
:?y.:i 1,le
binh rdng
thri
td,
iM;;",_; ]M.un**).
rrong vi
du
1l,

,1]', !i.;li
t"
khoans
tin
cdv
e5Yo
cita
"dii b6ng"
tir
(
26.4-
o.5s
,
26.4
+0.55),-tric
li
21

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