GRE Data Interpretation

GRE Data Interpretaon

GRE Data Interpretaon

Quesons 1-3 are based on the

Quesons 1-3 are based on the following graphfollowing graph

1.

1. If Madagascar’s exports totaled 1.3 billion dollars in 2009,approximately what was the al!e ,in millions of dollars, of the co!ntry’s exports to "hina #

$.%2

&. '( ". 100 ). 32%

*. %20

2. +hat is the approximate rao of Madagascar’s total exports to -rance, the /, ermany, and "hina combined compared to Madagascar’s exports to all other co!ntries#

$. 2%

&. 12 ". 23

). 32 *. 21

3. If Madagascar’s exports to -rance increased to 33 of Madagascar’s total exports in 2010,by approximately what percent will exports to -rance increase as a percentage of all exports between 2009 and 2010# $.   &. 1 ". 32 ). (( -. 11

Queson 4-6 are based on the

Queson 4-6 are based on the following graphfollowing graph

opu

opulaon laon of !hutan b" #ge$%&1& of !hutan b" #ge$%&1& eses'a'ate(te(

4op!laonMale5tho!sand s6 4op!laon-emale5tho!sa nds6 opulaon$thousands( opulaon$thousands( # g e $ " e a r s (

. $pproximately what percent of &h!tan’s total pop!laon was between the ages 0 and 1 years in 2010# $. 1% &. 2% ". 30 ). 0 *. %%

%. +hat is the best esmate of the rao of the female pop!laon age 7% and older to the female pop!laon age 0 to 1 years#

$. 1810 &. 18% ". 183

). 381 *. %81

7. +hich of the following is greater than %0# Indicate all that apply.

$. Males and females ages 01 to total pop!laon. &. Males age01 to males and -emales ages01. ". Males ages 1%7 to total pop!laon.

). Males and -emales ages 01 to males and females ages 1%7. *. Males oer 7% to Males and -emales ages oer 7%.

Quesons )-1&

Quesons )-1& are based on tare based on the following grhe following graphsaphs Distribuon of students at *had" !roo+ ,igh *hool Distribuon of students at *had" !roo+ ,igh *hool

.hart / itle .hart / itle

'. /!ppose there were 1100 st!dents at /hady &roo: ;igh /chool in 200% and 1300 st!dents in 2010.;ow many more freshmen a<ended the school in 2010 than in 200%#

$. 29 &. 200

". 99 ). 33

*. 3

(. /!ppose 1100 st!dents a<ended /hady &roo: ;igh /chool in 200%. if twothirds of the seniors were female, how many male seniors a<ended the school in 200%#

$. 99 &. 132

". 217 ). 32 *. 00

9. /!ppose 1,300 st!dents a<ended /hady &roo: high school in 2010. If the rao of fac!lty assigned to wor: with !nderclassmen to !nderclassmen 5freshmen and sophomores6 was abo!t 181, how many fac!lty were assigned to wor: with !nderclassmen#

$. 30

&. % ". %0 ). %7

10. If the n!mber of =!niors in 200% and 2010 was the same, which of the following statements co!ld be tr!e#

/elect all that apply .

$. >here were 9(( st!dents in 200% and 1300 st!dents in 2010. &. >here were 9%2 st!dents in 200% and 1300 st!dents in 2010.

". >here were 9(' st!dents in 200% and '%0 st!dents in 2010. ). >here were 1,1%( st!dents in 200% and ('% st!dents in 2010. -. >here were 107 st!dents in 200% and 100 st!dents in 2010.

Inter'ediate Inter'ediate

Queson 11-13 are based on

Queson 11-13 are based on the following graphsthe following graphs 0u'ber of lanes at *her'an #irport

year2010 year2000 0u'ber of lanes 0u'ber of lanes # i r l i n e s

ollisions between !irds and lanes near *her'an #irport ollisions between !irds and lanes near *her'an #irport

no of

no of ollisions

ollisions

11. >he n!mber of collisions between birds and planes near /herman $irport increased by approximately what percent between 1990 and 2010#

$. 3 &. 3'

". 193 ). 2%

12. +hat is the probability that a collision between a bird and a plane in 2010 inoled a s!per bl!e plane, ass!ming that collisions between birds and planes inoled only ?mega, /!per &l!e and -ast @et airplanes# $. 11% &. 13 ". %13 ). (11 *. 11%

13. &ased on the data gien in the graph, approximately what percentage of collisions between planes and birds between 1990 and 2010, incl!sie occ!rred before 2002#

$. 12

&. 20 ". 33

). %0 -. 7'

Quesons 14-16 are based on

Quesons 14-16 are based on the following graphsthe following graphs

nu'ber

nu'ber of

of !ear

!ear sighngs2st

sighngs2stat

atewide

ewide

n!mber of &ear sighngs,statewide

/he nu'ber of *ighngs s "ear /he nu'ber of *ighngs s "ear

/"pial

/"pial Reasons Reasons for for !ear !ear *ighngs*ighngs

property damageA 1%A 1%.00

>rashA 30A 30.00

on BoadA 20A 20.00 &ird feedersA 2%A 2%.00 petsliestoc:A 10A 10.00 property damage >rash on Boad &ird feeders petsliestoc:

1.. If /mithson "o!nty reported 20  of the bear sighngs in the state in 2000, how many /ighngs were reported for the locaon#

$. 20 &. 2%

". 30 ). 0 *. %0

1%. )!ring the year that had the greatest increase in the n!mber of bear sighngs from the preio!s year, how manyC on roadC sighngs were reported, ass!ming a typical distrib!on of bearsighng types# $. 20 &. 3% ". 0 ). '0 *. (0

17. $ccording to the data gien, in which year was there no change in the n!mber of bear sighngs from the preio!s year#

/elect all that apply $. 2002 &. 2003 ". 200 ). 200% *. 2007 Quesons 1)-%&

Quesons 1)-%& are based on are based on the following grthe following graphsaphs

no ofDDs ordered in%&1&

no ofDDs ordered in%&1&

no of)D)Es ordered in2010

DD5

DD5s ordered in s ordered in 'illions'illions

DD5

childrenA 13A 13.00 horrorA (A (.00 )ramaA 19A 19.00 $conA 23A 23.00 "omedyA 3'A 3'.00 children horror )rama $con "omedy

1'. >here was a 1.7' change in the n!mber of )D)’s ordered between which two consec!e months in 2010# $. -ebMarch &. $prilMay ". May@!ne ). $!g/ept *. Fo)ec

1(. +hich pairs of months in 2010 hae a sales rao of 283# /elect all that apply

$. @an 8-eb

&. $pril 8May ". $!g!st 8$pril ). ?ctober 8 Foember

*. May8 @!ne

19. In )ec2010,how many more comedy )D)’s were ordered than drama )D)s#

$. .2 m &. 7.3m

". (m ). 1.m

*. 1(m

20. /!ppose 1% of the )D)’s ordered inFoember2010 were horror Glms. ;ow many more horror Glms were ordered in )ecember than Foember#

million

#daned #daned

Quesons %1-%4 are based on

Quesons %1-%4 are based on the following graphsthe following graphs

erentag

erentage e of !o"s and Girls in #endane at re'ier 7eague *oer a'pof !o"s and Girls in #endane at re'ier 7eague *oer a'p

200'A 2% 200(A  2009A %1 2010A 33 200'A '% 200(A %7 2009A 9 2010A 7' girls boys

aendane

aendane

a<endance

/

/otal 0u'ber in otal 0u'ber in #endan#endane at e at re'ier 7eague *oer a'pre'ier 7eague *oer a'p

21. $pproximately how many girls a<ended the 2010 premier leag!e /occer "amp# $. 330

&. %0

". %% ). (2%

*. (90

22. In which years did approximately the same n!mber of girls and boys a<end the camp# $. 200'

&. 200( ". 2009

). 200'H 200( *. 200(H 2009

23. +hich two years from 200' to 2010 incl!sie, had the lowest n!mber of boys in a<endance#

$. 200'H200( &. 200(H2009 ". 2009H2010

". 200(H 2010

2. +hich is the best esmate of the total n!mber of girls who a<ended in the two years that had the lowest total a<endance#

$. 1%00

&. 12'% ". 12(0 ). '%0

Quesons %8-%) are based on

Quesons %8-%) are based on the following graphsthe following graphs

9arat

9arathon :in

hon :inishers

ishers b" it"

b" it"

200( 2009 2010 it" it" : i n i s h e r s $ t h o u s a n d s (

/otal 9ale 9arathon :inishers2;.*.

/otal 9ale 9arathon :inishers2;.*.

-inishers5tho!sands6

2%. +hich city showed the greatest percent increase in marathon Gnishers from 2009 to 2010# $. "ity $

&. "ity & ". "ity "

). "ity ) *. "ity *

27. )!ring the year in which there was no change in amarathon male Gnishers from the preio!s yearA what was the rao of Gnishers in "ity $ to Gnishers in "ity "#

$. 78% &. 83 ". 181

). (8% *. 1811

2'. If 70 of marathon Gnishers are male, what percentage of the total 2009 / marathon Gnishers ran in city $# $. % &. 10 ". 2% ). 30 *. 0 Quesons %<-3&

en!e reen!e media reen!e other reen!e

Reenue

Reenue in 'illions in 'illions of of dollarsdollars

other reen!e media reen!e en!e reen!e

/

/ea' ea' # reenues for # reenues for %&&=-Reenue in 'illions of dollars%&&=-Reenue in 'illions of dollars

2(. -or the team that earned 20 million in Media reen!e in 2009, what percent of total reen!e that year came from en!e reen!e#

"hoose all that apply.

$. >eam $’s en!e was abo!t the same as reen!e from other so!rces

&. >eam $’s reen!e from Media was more than 120 million 

". >eam $ reen!e from media for that month acco!nted for one fo!rth of the year’s reen!e from media

). In the same month, >eam $’s reen!e from other so!rces also showed its greatest amo!nt *. >otal reen!es for >eam $ for the month were less than 30 million 

30. +hat percent change did >eam $ experience in Den!e reen!e from May to @!ne 2009# $. Den!e reen!e decreased by 3%.'

&. Den!e reen!e decreased by7.3 ". Den!e reen!e increased by 77.77 ). Den!e reen!e increased by (0

*. Den!e reen!e stayed the same.

Data In

Data Interpretaterpretaon on #nswers#nswers

!asi !asi 1.$ 2.) 3.& ." %.& 7.&, * '."

(.$ 9." 10.$,* Inter'ediate Inter'ediate 11.* 12." 13." 1.* 1%.) 17.&, ) 1'.$ 1(.$," 19.) 201.1% 21.& 22."

23.& 2.) 2%.* 27.$ 2'.& 2(.%0 29.$, ", ) 30. &