Upload
balamurugan-jayakumar
View
213
Download
0
Embed Size (px)
DESCRIPTION
see
Citation preview
Reg
iste
r N
um
ber
:
Nam
e o
f t
he C
an
did
ate
:
5 1
4 7
B.C
om
. D
EG
RE
E
EX
AM
INA
TIO
N, 20
08
( S
EC
ON
D Y
EA
R )
( P
AR
T -
IV
)
( P
AP
ER
- I
)
23
1 /
62
0 /
63
0.
BU
SIN
ES
S S
TA
TIS
TIC
S
( C
om
mo
n
wit
h
B.C
om
. I
nte
rna
tio
na
l B
an
kin
g
an
d
B.C
om
. A
cco
un
tin
g a
nd
Fin
an
ce )
Decem
ber
] [
Tim
e :
3 H
ou
rs
Max
imu
m :
10
0 M
ark
s
Tu
rn
ov
er
SE
CT
ION
- A
(5
2
=
10
0)
An
swer
an
y
FIV
E
qu
est
ion
s.
All
q
uest
ion
s c
arr
y
eq
ua
l m
ark
s.
1.
(a)
Ho
w
is
Sta
tist
ics
use
d
in
solv
ing
cert
ain
pro
ble
ms
in
C
om
merc
e ?
(b)
Ex
pla
in
the
pre
cau
tio
nary
st
ep
s t
o
be
tak
en
befo
re
mak
ing
u
se
of
se
co
nd
ary
data
.
2.
(a)
Expla
in th
e d
iffe
rent
kin
ds
of
cla
ssif
icat
ions
an
d g
ive
ex
am
ple
s.
(b)
Dra
w a
su
ita
ble
d
iag
ram
fo
r th
e
foll
ow
ing
d
ata
re
late
d
to
the
perc
en
tag
e
ex
pen
dit
ure
s o
n
vari
ou
s i
tem
s.
Ag
ricu
ltu
re
an
d
Ru
ral
D
ev
elo
pm
en
t-
12
9 %
Irri
gati
on
, etc
-1
25
%
Ele
ctri
city
-2
72
%
Ind
ust
ry
an
d
Min
era
ls-
15
4 %
Tra
nsp
ort
, C
om
mu
nic
ati
on
, etc
-1
59
%
So
cia
l S
erv
ices
an
d
Oth
ers
-1
61
%
3.
(a)
Wri
te
the
pro
pert
ies
of
an
id
eal
av
era
ge.
2
10.qupFA@Dvcdvu,kA
vpceBdFA@A^
@B[A.
1
5 -
19
1,6
00
19,0
00
0
92
1
2
0 -
24
1,0
00
70,2
00
0
90
1
2
5 -
29
1,6
85
90,6
00
0
88
5
3
0 -
34
1,7
30
62,4
00
0
86
2
3
5 -
39
1,7
25
32,5
00
0
85
0
4
0 -
44
1,6
20
11,0
00
0
83
2
4
5 -
49
1,5
10
8
00
0
81
2
|g
(Xce
)
p]
v@AdA
(000)
p]qos
]
_@A
}
-
d
eAu
11
6.XLA|L{g,qu
pFA@D
X
= 1
0 upg
Y -
veop@A^
@B[.
7.AcdXL@AjD
osA
p@A.
8.CA[@AopW[
pFA@D,qu
yopY@D~WX]
A^
@BXu.
()EW[LL.
()p@DLL.
9.}os}||L{A.d
p|pWYe,e
A|BdFA@A^
@B[uyA
@DA.
X 4
812
16
20
24
26
Y15
24
38
51
55
65
80
30
20 K
g.
40
15
40 K
g.
16
10
10 K
g.
15
p
2002 -
(.)
19
85
-
(.)
L@A
p
v
10
X
F
10
- 1
4 5
15
- 1
912
20
- 2
428
25
- 2
930
30
- 3
415
35
- 3
9 8
40
- 4
4 2
(b)
Co
mp
ute
A
rith
met
ic
Mea
n
and
G
eom
etri
c
Me
an
fo
r th
e fo
llo
win
g fr
eq
ue
nc
y
dis
trib
uti
on
.
4.
(a)
Defi
ne
skew
ness
an
d
desc
rib
e
an
y
on
e
meth
od
o
f m
easu
rin
g
its
co
eff
icie
nt.
3
Tu
rn
ov
er
()qup@DAq|L
AWX@A@A^
@B[.
5.
vA@BX|W[
|
L{g,qu
pFA@DAq|L
W[@A@A^
@B[.
q
F
0
- 5
10
5
- 1
016
10
- 1
524
15
- 2
013
20
- 2
5 8
25
- 3
0 6
30
- 3
5 2
35
- 4
0 1
X45
81
103
125
160
205
210
245
Y150
165
184
205
210
225
240
264
9
Tu
rn
ov
er
C
lass
F
0
- 5
10
5
- 1
016
10
- 1
524
15
- 2
013
20
- 2
5 8
25
- 3
0 6
30
- 3
5 2
35
- 4
0 1
4
(b)
Co
mp
ute
K
arl
P
ears
on
s
co
eff
icie
nt
of
skew
ness
fo
r t
he
dis
trib
uti
on
.
5.
Defi
ne
co
rrela
tio
n
betw
een
tw
o
vari
ab
les
an
d
co
mp
ute
th
e
Karl
Pears
on
s c
oeff
icie
nt
of
co
rrela
tio
n
for
th
e
data
g
iven
b
elo
w.
X45
81
103
125
160
205
210
245
Y150
165
184
205
210
225
240
264
X 4
812
16
20
24
26
Y15
24
38
51
55
65
80
6.
Defi
ne
inte
rpo
lati
on
an
d
fro
m
the d
ata
g
iven
belo
w,
in
terp
ola
te
y f
or
x =
10
.
7.
Ex
pla
in
all
th
e
fou
r c
om
po
nen
ts
of
a
tim
e
seri
es.
8.
Fro
m
the
foll
ow
ing
d
ata
co
mp
ute
p
rice
ind
ex
apply
ing :
(a)
Ari
thm
etic
m
ean
and
(b)
Geo
metr
ic
mean
.
9.
Defi
ne
Vit
al
Sta
tist
ics.
Wri
te
its
use
s a
nd
desc
rib
e
the
meth
od
s o
f o
bta
inin
g
vari
ou
s
rate
s o
f V
ital
Sta
tist
ics.
5
Tu
rn
ov
er
Sugar
3
0 20 K
g.
4
0
Flo
ur
1
5 40 K
g.
1
6
Mil
k P
ow
der
1
0 10 K
g.
1
5
Com
modit
yP
rice
in
19
85
Quan
tity
Pri
ce in
20
02
Rs.
Rs.
()qu
]
p@D
EW[LLvu,p@DLL
B|@A_
@A.
4.
()AWXcdv||L{g,
@A[dAdu
y}
@D.
X
F
10
- 1
4 5
15
- 1
912
20
- 2
428
25
- 2
930
30
- 3
415
35
- 3
9 8
40
- 4
4 2
8
10
.C
om
pu
te t
he
gro
ss
an
d
net
rep
rod
ucti
on
ra
tes
fro
m
the
data
g
iven
b
elo
w.
dw@Au
duig@A@DXdA.
cg@A@DuLvveop]
A.
(5
2
= 1
00
)
1.(
)_
pce
M
A
qL
A
@DcfA]
pdD
s}|p|p[Bg?
()]
XukspFA
o
p|p[cgdDypA@AXqY@A
]Y|
y
L@
A
jXY@AAop@A.
Ag
e in
years
Fem
ale
popula
tion (0
00)
Fem
ale
bir
ths
num
ber
Surv
ival
rat
e
15 -
19
1,6
00
19,0
00
09
21
20 -
24
1,0
00
70,2
00
09
01
25 -
29
1,6
85
90,6
00
08
85
30 -
34
1,7
30
62,4
00
08
62
35 -
39
1,7
25
32,5
00
08
50
40 -
44
1,6
20
11,0
00
08
32
45 -
49
1,5
10
8
00
08
12
6
2.
()Aop[cgdyA
d^
FAX@A.
()
FA@A
L
dAuLddceD|pFAC
A[@AopW[Dpcdv
@AopXuA.
L|uvu,A
M
-1
29
%
pLu,dA}
-1
25
%
wLu
-2
72
%
dLvu,
Avu
-1
54
%
p@Dcg,L{edXs,
dA}
-1
59
%
LzALvud
A}
-1
61
%
3.(
)MidLL@D|p]
sA
|?
7
Tu
rn
ov
er