Mi

dexams

*
*Tr
ueorFal
se*
*

1. Rawdat aisalway sorganizedandr eadyf oranal ysis.[False]

2. Primar ydataiscol l
ecteddirectl
yf r
om t hesour cebyt hei nvest i
gator.[
True]
3. Secondar ydatai scoll
ectedf i
rsthandbyt hei nvestigator.[False]
4. Api echar tisasuitabl
edi agram forrepr esent i
ngcont inuousdat a.[Fal
se]
5. Ahi stogram usesv ert
icalbarst orepresentf requenci es.[True]
6. Classboundar iesinahi stogram arepl acedal ongthev erti
cal axi
s.[Fal
se]
7. Af r
equencypol ygonisal i
negr aphconnect ingt hemi dpoi ntsofbar sinahistogram.[
True]
8. Componentbarchar tsareusedt oshowhowat otalisdiv i
dedi ntoparts.[
True]
9. Si
mpl ebarchar t
sar eusedt ocompar edi ff
erentv ar i
ablesatt hesamet ime.[Fal
se]
10.St
ur gesr ulehelpsindet erminingt hedesi rednumberofcl assesi naf r
equencydist
ri
buti
on.
[
True]

*
*Chooset
heCor
rectAnswer
**

11.Whi chofthefoll
owingi
s* *not*
*apri
mar
ymethodofdatacol
l
ecti
on?
a)Directpersonali
nterv
iew b)Mai
ledquest
ionnai
res c)Repor
tsf
rom j
our
nal
s d)
Schedulesthroughenumerators
[Answer:c)Report
sfrom jour
nal
s]

12.Whichofthefol
lowi
ngisat ypeof*
*cat
egori
cal
**f
requencydi
str
ibut
ion?
a)Discr
ete b)Cont inuous c) Grouped d) Quali
tat
ive
[Answer:d)Qual
it
ati
ve]

13. Thediff
erencebet
weent heupperandl
owercl
assboundari
esofaclassi
scal
l
ed?
a)Classli
mit b)Cl asswidt
h c)Cl assmark d) Classfr
equency
[Answer:b)Cl
asswidth]

14. Whichchar
tissuit
ablef
orr
epresent
ingtheper
cent
agedist
ri
but
ionofawhol
e?
a)Barchar
t b)Piechart c) Hist
ogram d) Frequencypol
ygon
[Answer
:b)Piechart
]

15. Whichofthefol
l
owi
ngis**
not*
*acomponentofagroupedfrequencydist
ri
but
ion?
a)Classl
imit
s b)Rawdata c)Cl
assboundar
ies d) Classfrequency
[Answer:
b)Rawdata]

*
*Fi
l
lint
heBl
anks*
*

16.Datacollectedinorigi
nal
formiscalled\_\
_\_\
_\_
\_\_\_.[Answer:Rawdat a]
17.Dataarrangedi nascendi
ngordescendingorderi
scal l
ed\ _\_\_\
_\_\
_\_\_.[Answer:Ar
ray
]
18.Thenumberoft imesacer t
ainvalueoccur
sinadat asetiscalledit
s\ _
\_\_ \
_\_\
_\_
\_.[
Answer:
Frequency]
19. \ _\_\_\_\
_ \
_\_\_dataisobtainedf r
om publi
shedsour ceslikejournalsandmagazi nes.
[
Answer :Secondar y
]
20.A\ _\_\
_\_\_\_\_
\_isusedtoshowt hedivi
si
onofat otalintoitscomponentpar ts.[
Answer:
Componentbarchar t]

*
*Mat
chi
ng*
*

Mat
cht
het
ermsi
nCol
umnAwi
tht
hei
rdef
ini
ti
onsi
nCol
umnB:

*
*Col
umnA*
* *
*Col
umnB*
*
21.Cl
assMark a)Numberofobser v
ati
onsinacl ass
22.Cl
assFr
equency b)Separ atesonecl
assfrom anot
her
23.Cl
assLi
mits c)Averageofupperandlowerclassli
mit
s
24.Cumul
ati
veFrequency d)Numberofobservati
onslessthanorequal
toav
alue

*
*Answer
s**
:21-
c,22-
a,23-
b,24-
d

*
*Shor
tAnswer
**

25. * *Whatar et het womai ncategor i

esofdat apr esent at
ion?**[Answer :Tabul arpr esent ation
andDi agr ammat icandGr aphi cpresent at ion]
26. * *Listt hreeexampl esofsecondar ydat asour ces.*
*[ Answer :Repor t
s, j
our nal s, magazi nes]
27. * *Whati sthepur poseofdat apr esent at i
on?* *[
Answer :Tof acil
i
tatest atisti
cal anal ysi
s]
28.* *Def i
neaf requencydi stri
bution. **[ Answer :Organi zat
ionofr aw dat ai nt abl ef orm usi ng
cl
assesandf requenci es]
29.* *Stat et hedi fferencebet weendi scr et eandcont inuousf r
equencydi stribut ion. *
*[ Answer :
Discretef requencydi stri
butiondeal swi thdat athatcanonl yt akeonspeci fi
cv alues( li
kewhol e
number s),whi l
econt inuousf requencydi st ri
buti
ondeal swi thdat at hatcant akeonanyv alue
withi
nar ange( li
kehei ghtorwei ght).]
30. * *Whati sthef ormul af orcalcul atingt heangl eofasect orinapi echar t?**[ Answer :Angleof
sector=( valueoft hepar t/t hewhol equant ity)*360°]
31.**Listt woadv antagesofusi ngdi agr ammat i
cdat apr esentation.*
*[ Answer :Gr eat erat t
raction
andf acili
tatecompar ison]
32. * *
Whatar ethet hreety pesofbarchar ts?**[Answer :Simpl ebarchar t
,Componentbarchar t
,
Mul t
iplebarchar t
]
33.** Different i
atebet weenahi stogr am andaf requencypol ygon.**[Answer :Ahi stogram uses
barst or epresentf requenci es,whi leaf requencypol ygonusesal i
negr aphconnect i
ngt he
midpoi ntsoft hosebar s.]
34.** Statef ivegui delinesf orcr eatingcl assesi nagr oupedf r
equencydi stri
but i
on. **[Answer :1)
Between5and20cl asses,2)Mut ual lyexcl usiv
ecl asses,3)Al l
-i
nclusivecl asses,4)Cont inuous
cl
asses, 5)Equal classwi dths( exceptf or" below..."or".
..andabov e"cl
asses) ]

*
*Tr
ueorFal
se*
*

35.Thecl assesinaf requencydi

str
ibuti
oncanoverl
ap.[Fal
se]
36.Afrequencydi str
ibutionhel
pstoorgani
zeandsummar i
zedat a.[
True]
37. Alldat aval
uesmustbei ncl
udedinaf r
equencydist
ri
bution.[Tr
ue]
38. Acl assmar krepr esent
stheupperli
mitofaclass.[
False]
39. Thecumul ativ
ef requencyofaclassisthesum ofthefrequenciesofal
lpr
ecedi
ngcl
asses.
[
True]

*
*Chooset
heCor
rectAnswer
**

40. Whatisthepr i
mar ypur
poseofconst
ructi
ngaf r
equencydi
str
ibuti
on?
a)Tocol l
ectrawdat a b)Toanalyzestati
sti
caldat
a c)Toor gani
zeandsummar
izedat
a
d)Topresentdatavisuall
y
[Answer:c)Toor gani
zeandsummar i
zedata]

41. Whichoft hefol

lowingi
sanexampl
eofadi scr
etev
ari
abl
e?
a)Heightofst udents b)Weightofobjects c)Numberofcar
sinapar
kingl
ot d)
Temperatur
ereadings
[Answer:c)Numberofcarsi
naparkingl
ot]

42. Whi
cht
ypeofbarchar
tisusedt
ocompar
edi
ff
erentcat
egor
iesov
ert
ime?
 a)Simpl
ebarchar
t b)Componentbarchar
t c)Mul
ti
plebarchar
t d) Pi
echar
t
[Answer
:c)Mul
ti
plebarchar
t]

43. Whichgraphical
represent
ati
oni
ssuit
ablefordi
spl
ayi
ngt
hedist
ri
but
ionofcont
inuousdat
a?
a)Piechart b)Histogram c) Barchart d) Linegr
aph
[Answer:b)Hist
ogram]

44. Whatdoestheabbrevi
ati
on'Cf'
standf
ori
nafrequencydist
ri
but
iont
abl
e?
a)Classfr
equency b)Cl assmark c)Cumulat
ivefr
equency d) Cl
asswi
dth
[Answer:
c)Cumulati
vefr
equency]

*
*Fi
l
lint
heBl
anks*
*

45.The\ _\
_\_\_\
_\_\_\
_i sthedif
ferencebetweent hehighestandl owestv al
uesi nadat aset.
[
Answer:Range]
46.The\ _
\_\_\_
\_\_\_
\_separatesonecl assf r
om anot herinagr oupedfrequencydi st
ri
bution.
[
Answer:Classli
mi t
]
47.The\_\_\_
\_\_\_
\_\_isthenumberofobser v
ationsthatfallwi
thinaparti
cularclass.[
Answer :
Classf
requency]
48.The\ _
\_\_\_
\_\_\_
\_i salinegrapht hatrepresent
st hecumul ativef
requenciesofcl asses.
[
Answer:Ogive]
49.The\_\_\
_\_\_\
_\_\_isthemidpointofaclassinterv
al.[Answer:Classmark]

*
*Mat
chi
ng*
*

Mat
cht
het
ypesoff
requencydi
str
ibut
ionsi
nCol
umnAwi
tht
hei
rdescr
ipt
ionsi
nCol
umnB:

*
*Col
umnA*
* *
*Col
umnB*
*

50.Di
scretef requencydist
ri
bution a)Dataclassif
iedbasedonqual i
tati
vecat
egor
ies
51.Continuousf requencydi
str
ibuti
on b)Datagroupedintoclasses
52.Categoricalfrequencydi
str
ibuti
on c)Datarepresent
edbyi ndi
vidualval
ues

*
*Answer
s**
:50-
c,51-
b,52-
a

*
*Shor
tAnswer
**

53.* *Whati st hemai ndi ff

erencebet weenpr imaryandsecondar ydat a?**[Answer :Pr i
mar ydata
i
scol lect edfirsthandbyt heinv esti
gator,whilesecondarydatai scollectedf rom existingsour ces.]
54. * *Explaint heconceptofcl assboundar i
esinaf requencydi str
ibution.**[Answer :Class
boundar i
es ar et he v alues t hatsepar at
e one class from anot heri n a gr ouped f requency
distri
but i
on.Theyar ehal fwaybet weent heupperl i
mitofonecl assandt hel owerl i
mi toft henext .
]
55. * *Whati sthesi gnifi
canceofusi ngagr oupedfrequencydi str
ibution?* *[Answer :Agr ouped
fr
equencydi stri
but i
on i s used t o organize and summar i
ze l ar
ge dat aset s with cont inuous
variablesbygr oupi ngdat aintocl asses.]
56. * * Descr i
bet hest epsinv olvedi nconstructi
ngagr oupedf requencydi stributi
on.**[ Answer :1)
Findt her ange,2)Det erminet henumberofcl asses,3)Cal culatethecl asswi dth,4)Est abli
sh
classl imi t
s,5)Det ermi necl assboundar i
es,6)Cal culat
ef requenci es,7)Cal cul
at ecumul ati
ve
fr
equenci es]
57. * *How i saf requencypol ygonconst r
uctedf r
om ahi stogram? * *[Answer :A f requency
polygoni sconst ruct edbyconnect ingthemi dpoint
soft hebar sinahi stogram wi thst raightli
nes.]

*
*Tr
ueorFal
se*
*

58. Al
lty
pesofdat
acanber
epr
esent
edef
fect
ivel
yusi
nganyt
ypeofchar
torgr
aph.[
Fal
se]
59. Visualrepr
esentationofdatacanmakeiteasi
ert
ounder
standandi
nter
pret.[Tr
ue]
60. Af requencydi
stributionmustal
wayshaveanequalnumberofobser
vati
onsi neachcl
ass.
[Fal
se]
61. Thechoi ceofdatapr esent
ati
onmethoddependsont
hetypeofdat
aandt hepurposeofthe
analysi
s.[Tr
ue]
62. Theuseofdi f f
er entcol
orsordesignsinabarchartcanhel pdif
ferenti
atebet
ween
categori
es.[
True]

*
*Chooset
heCor
rectAnswer
**

63.Whichoft
hefol
lowi
ngi
sakeyconsiderat
ionwhenchoosingadatapresentati
onmethod?
a)Typeofdat
a b)Pur poseofanal
ysi
s c)Tar getaudience d)Alloftheabov
e
[Answer
:d)Al
loft
heabove]

64. Whichchartty
peismostsui t
abl
eforshowingtrendsovert
ime?
a)Piechart b)Li
negr aph c) Barchar t d) Hi stogr
am
[Answer:b)Li
negraph][I
nfor
mati
onbey ondtheprovi
dedtexti
sneededt
oful
l
yaddr
esst
his
quest
ion.
]

65. Whatistheadv antageofusi

ngapiechartoverabarchart?
a)Showingt r
endsov erti
me b)Repr esent
ingthedistri
buti
onofawhol
e c)Compar
ing
di
ff
erentcat
egories d)Di spl
ayi
ngt
hef r
equencyofindiv
idualval
ues
[Answer:b)Representi
ngthedi
str
ibut
ionofawhol e]

66. Whi chofthefol

lowingis**not
**abenef
itofv
isualdat
apresentat
ion?
a)Enhancedunder standi
ng b)I ncr
easeddataaccuracy c)Improv
eddeci
sion-
maki
ng
d) Effecti
vecommuni cati
on
[Answer:b)Incr
easeddataaccuracy]

67. WhatistheroleofStur
ges'r
uleincreati
ngaf r
equencydi
str
ibuti
on?
a)Determiningtherangeofdat a b)Calcul
ati
ngthecl asswidt
h c)Sel
ect
ingt
he
numberofclasses d)Def i
ningclassboundaries
[Answer:c)Sel
ecti
ngthenumberofcl asses]

*
*Fi
l
lint
heBl
anks*
*

68.\ _\
_\_\_\_\
_ \
_\_chartsareef fecti
vef orcompar ingdi f
ferentcategori
esataspeci fi
cpointin
ti
me.[ Answer :Bar]
69.The\ _
\_\_\_\_
\_\_\_i
napi echar trepresentsthepr oporti
onofeachcat egor y.[
Answer:Sector
]
70.A\ _ \
_\_\_\
_ \
_\_\_isatypeofchar tthatusespi cturesorsy mbolstor epr esentdata.[
Answer:
Pictogram][Informationbeyondt heprov i
dedt extisneededt of ul
lyaddresst hisquestion.
]
71. A\ _\_\
_\_\_\_\
_\_isatablet hatshowst hef r
equencyofv aluesindifferentclasses.[
Answer:
Frequencydi st
ributi
on]
72. \ _\_\_\
_\_\_\_\
_i st
hepr ocessoft r
ansformingr awdat ai nt
oameani ngfulfor
mat .[
Answer:
Datapr esentati
on]

*
*Mat
chi
ng*
*

Mat
cht
hechar
tty
pesi
nCol
umnAwi
tht
hei
rappr
opr
iat
eusesi
nCol
umnB:

*
*Col
umnA*
* *
*Col
umnB*
*

73.Pi
echart a)Compar i
ngmulti
plev ar
iabl
esoverti
me
74.Mult
ipl
ebarchar
t b)Showingthedist
ri
butionofawhol e
75.Hi
stogr
am c)Di
splay
ingthefrequencydist
ri
buti
onofcont
inuousdat
a
*
*Answer
s**
:73-
b,74-
a,75-
c

*
*Shor
tAnswer
**

76.* *Explai
nt he import
ance ofchoosi ng appropr
iat
e scal
es foraxes in gr
aphicaldata
presentat
ion.*
*[ Answer:Choosing appr opri
ate scal
es ensur
es thatthe dat
ai s displ
ayed
accuratel
yandav oidsmisleadi
ngi nt
erpretat
ions.Thescalesshoul
dbechosent oclearl
yshow
therangeofdat aandanysignif
icantpatt
ernsort r
ends.]

77. **Whataretheli
mi t
ati
onsofusingpiechart
sf ordatapresentat
ion?
**[
Answer:Pi
echarts
canbecomedif
ficul
ttointer
pretwhenther
earetoomanycat egoriesorwhenthepr
oport
ionsare
ver
ysimil
ar.Theyar ealsonotsui t
ableforshowingtrendsov ertimeorcomparingmulti
ple
var
iabl
es.
]

78. * *How canv i

sualdatapresentationenhancet hecommuni cati
onofr esearchfi
ndings?
**
[Answer:Visualrepr
esentati
ons,suchaschar t
sandgr aphs,canmakecompl exdatamor e
accessibl
eandunderstandabletoawi deraudience.Theycanhighl
ightkeyfindings,pat
ter
ns,and
trends,
makingiteasi
erforpeopletogr asptheinfor
mat i
onanddrawconcl usions.]

79. * *
Descri
bethecharacteri
sti
csofawell
-desi
gnedchartorgr
aph.
**[Answer:Awell
-desi
gned
chartorgraphshoul
dbecl ear
,conci
se,andaccurat
e.I
tshouldhaveacl eart
itl
e,l
abeledaxes,
andal egendifnecessary.Thechoiceofcharttypeshouldbeappropri
ateforthedat abei
ng
presented,
andthedesi
gnshoul davoi
dclut
terordi
str
acti
ons.]

80. **Whataresomecommonmi st
akest oav oi
di ndatapresent
ation?**[Answer:Some
commonmistakestoavoidincl
ude:usi
nginappr
opr i
atechar
ttypes,di
stort
ingscales,i
ncl
udi
ng
toomuchi
nfor
mation,
lacki
ngclearl
abel
s,andneglecti
ngtoprov
idecontextforthedata.
]

*
*Tr
ueorFal
se*
*

81.Usi
ngtoomanycol or
sinachar tcanimprov ereadabil
ity.[Fal
se]
82. Afrequencypol
ygoncanbeusedt orepresentbothdi screteandcont
inuousdata.[
True]
83. Abarchartisasuit
abl
ewayt orepr
esentt hepercentagedi st
ri
buti
onofawhol e.[
False]
84. Awel l
-l
abel
edgraphshouldincl
udeat i
tle,axi
slabels, andalegend(i
fappli
cable)
.[True]
85. Thepur poseofdatapresentati
onist omani pulat
edat atosupportaspecificconclusi
on.
[
False]

*
*Chooset
heCor
rectAnswer
**

86. Whichofthef
oll
owi
ngisameasureofcentr
altendencyi
nadataset
?
a)Mean b)Range c) Frequency d) Classwi dt
h
[Answer
:a)Mean][I
nfor
mati
onbey ondthepr ovi
dedtexti
sneededt
oful
l
yaddr
esst
his
quest
ion.
]

87. Whichtypeofcharti
sbestforshowingt
herel
ati
onshipbet
weentwovar
iabl
es?
a)Scatt
erplot b)Piechar
t c)Barchart d) Histogr
am
[Answer
:a)Scatterplot
][I
nformati
onbeyondtheprovi
dedtexti
sneededtoful
l
yaddr
ess
thi
squesti
on.
]

88. Whatisthedif
ferencebet
weenacl assli
mitandaclassboundary?
a)Classl i
mit
sar eincl
usi
ve,whi l
ecl assboundari
esareexclusive. b)Classlimitsar
e
excl
usi
ve,whi
leclassboundari
esarei nclusi
ve. c)Classli
mitsareusedfordi
scret
edat a,whi
l
e
cl
assboundariesareusedforconti
nuousdat a. d) Classli
mitsareusedforconti
nuousdata,
whil
ecl
assboundar i
esareusedfordiscretedata.
 [
Answer
:a)Cl
assl
i
mit
sar
eincl
usi
ve,
whi
l
ecl
assboundar
iesar
eexcl
usi
ve.
]

89. Whichoft hef

oll
owingi s**
not**astepi
nconstr
ucti
ngapiechart
?
a)Cal cul
atepercentagesforeachcategory b)Determi
nethecentr
alangl
eforeach
sect
or c)Dr awacircl
eanddi vi
deiti
ntosect
ors d)Ar rangethesect
orsi
nascendi
ngor
der
ofmagnitude
[Answer :
d)Arr
anget hesector
sinascendi
ngorderofmagnit
ude]

90. Whatisthepurposeofusingacumulati
vefrequencydist
ribut
ion?
a)Toshow t hetot
alnumberofobser vat
ions b)Toi dentif
ytheclasswit
hthehighest
fr
equency c) Todet er
minet henumberofobser vat
ionslessthanorequaltoagivenv al
ue
d) Tocalcul
atethemeanoft hedata
[Answer
: c) Todeter
minet henumberofobservati
onslessthanorequaltoagiv
envalue]

*
*Fi
l
lint
heBl
anks*
*

91. \ _
\_\_\_\
_\_\_\_\_i
st hesci
enceofcol lect
ing,or ganizing,anal
yzing,andinterpr
eti
ngdat a.
[
Answer :Stati
stics][Inf
ormation bey ond t
he pr ovi
ded t exti s needed t ofull
yaddr ess this
quest
ion.]
92.A \ _\_
\_\_\_
\ _
\_\_isa subsetofa popul ati
on used t o coll
ectdat a.[Answer:Sampl e]
[
Infor
mat i
onbey ondt heprovi
dedtex tisneededt ofull
yaddr essthisquesti
on.]
93. \_\_\_\
_\_\_\_\
_\_dataisnumer icaldatathatcant akeonanyv aluewithi
nar ange.[
Answer :
Conti
nuous]
94. \ _\_\
_\_\_\
_ \
_\_\_dataisnon- numer i
caldat at hatdescr i
besqual i
ti
esorchar acter
ist
ics.
[
Answer :Quali
tati
ve]
95. \_\_\_\
_\_\_\_\
_\_areusedtor epresentcategoriesorgr oupsinabarchar t
.[Answer:Bars]

*
*Mat
chi
ng*
*

Mat
cht
het
ermsi
nCol
umnAwi
tht
hei
rdef
ini
ti
onsi
nCol
umnB:

*
*Col
umnA*
* *
*Col
umnB*
*

96.Range a)Themi
ddleval
ueinadataset
97.Median b)Themostfr
equentval
ueinadataset
98.Mode c)Thedi
ff
erencebetweent
hehighestandl
owestv
alues

**Answer
s**
:96-c,
97-
a,98-b[
Infor
mationbeyondtheprov
idedtexti
sneededt
oful
l
yaddr
esst
his
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*
*Shor
tAnswer
**

99.**
Whatist hei
mport
anceofdatavisual
izat
ionindataanal
ysis?
**[Answer:Datav
isual
izat
ion
hel
pst oexploredat
a,ident
if
ypatter
nsandt rends,andcommuni cateinsi
ghtsef
fecti
vely
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ertounder
standcompl
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terdeci
sion-
making.
]

100. **Howcandat apresent

ati
onbeusedt omi sl
eadormisr
epr esentinf
ormation?**[
Answer:
Datapresentati
oncanbemi sl
eadi
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echartt
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ed,
dataisomitt
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abel
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tf
allsandensure
thatdat
aispr esent
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call
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]