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Data Interpretation

March 2nd, 2010 | No Comments | Posted in Data Interpretation

data-interpretation-Directions for next 4 Data Interpretation Questions: Refer to the data and the table below and the answer the data interpretation questions that follow.

1) Every student (boy or girl) of each class participated in a game.
2) In each game, from every class, the number of girls participating is 25% of the number of boys participating in each game from the same class.
3) Each student participates in one game only.

DI

1. What is the ratio of boys and girls, if boys playing chess and badminton are combined and the girls playing hockey and football are combined?
a. 1:2
b. 2:3
c. 3:1
d. 4:1

2. How many boys cannot be paired for a game, if boys of class X-C and X-D are paired with girls of their class?
a. 72
b. 66
c. 76
d. 80

3. The boys of X-C and girls of X-D together from how much percentage of total number of students?
a. 20%
b. 25%
c. 39%
d. 35%

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Data Interpretation

February 6th, 2010 | No Comments | Posted in Data Interpretation

Data Interpretation: Directions for next 5 data interpretation questions: Refer to the line graph below and answer the data interpretation questions that bellow.
Data Interpretation
1. What is the average of simple annual growth rate of turnover of Direct selling business in India during the given period?
a. 42%
b. 60%
c. 78%
d. 137.5%

2. If Wamay and Nova were only companies in the direct selling business in India till 1998 with the Wamay market share three times that of Nova, then what is percentage growth in Nova’s turnover during the given period?
a. 10%
b. 15.6%
c. 35%
d. 46.7%

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Data Interpretation Questions

February 4th, 2010 | No Comments | Posted in Data Interpretation

Data Interpretation Questions: Directions for next 4 data interpretation questions: Answer the data interpretation questions on the basis of the information given below.

The Dean’s office recently scanned student results into the central computer system. When their character reading software cannot read something, it leaves that space blank. The scanner output reads as follows:
Data Interpretation Questions
In the grading system, A, B, C, D, and F grades fetch 6, 4, 3, 2, and 0 grade points respectively. The Grade Point Average (GPA) is the arithmetic mean of the grade points obtained in the five subjects. For example Nisha’s GPA is (6 + 2 + 4 + 6 + 0) /5 = 3.6. Some additional facts are also known about the students’ grades.
These are

a. Vipul obtained the same grade in Marketing as Aparna obtained in Finance and Strategy.
b. Fazal obtained the same grade in Strategy as Utkarsh did in Marketing.
c. Tara received the same grade in exactly three courses.

1. What grade did Preeti obtain in Statistics?
a. A
b B
c. C
d .D

2. In Operations, Tara could have received the same grade as
a. Ismet
b. Hari
c. Jagdeep
d. Manab

3. What grade did Utkarsh obtain in Finance?
a. B
b. C
c. D
d. F

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Data Interpretation Questions

January 13th, 2010 | 2 Comments | Posted in Data Interpretation

data-interpretation-questions. Directions for next 3 data interpretation questions: Answer the data interpretation questions based on the following information.

.

The bar chart shows the price per can of mineral water and soda. It also shows the price per 500 g pack of juice. Juice is also sold in can in addition to packs. The volume of every can is 500 ml and the density of juice is 0.5 grams per milliliters. (All the prices are in rupees)

Weight in grams = Density × Volume in milliliters.

Data Interpretation

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Data Interpretation Questions with Solutions

January 5th, 2010 | 1 Comment | Posted in Data Interpretation

data-interpretation-questions-with-solutions.

Direction for next 5 Data Interpretation Questions: Answer the data interpretation questions based on the following table.

Following table shows the scores of students in 8 MOCK CAT (section wise). Assume all MOCK CAT contain 3 sections, each sections have 50 questions. The total of the scores in 3 sections is compared with “cut off” and if his total score is higher than the “cut off”, it is said that he has cleared the “cut off”.

English

Quant

D.I.

Cut-off

MOCK 1

23

12

19

56

MOCK 2

24

17

18

62

MOCK 3

29

11

23

60

MOCK 4

21

14

21

57

MOCK 5

19

13

25

59

MOCK 6

26

17

21

60

MOCK 7

25

19

23

58

MOCK 8

27

20

21

65

1. In how many MOCK CATs did he clear the cut off?

a. 2

b. 3

c. 4

d. 5

2. In which MOCK CAT did he score the maximum total marks?

a. 3rd

b. 6th

c. 7th

d. 8th

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Data Interpretation Questions

December 29th, 2009 | 1 Comment | Posted in Data Interpretation

Data Interpretation Questions And Answers.

Directions for next 5 Data Interpretation Questions: Answer the Data Interpretation questions based on the following graph:

Data Interpretation Question

1. Which year has showed the greatest percentage increase in profit as compared to the previous year?

a. 1993

b. 1994

c. 1990

d. 1992

2. The average revenue collected in the given seven years is approximately:

a. Rs. 164 lakh

b. Rs. 168 lakh

c. Rs. 171 lakh

d. Rs. 175 lakh

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Data Interpretation Questions With Answers

November 10th, 2009 | No Comments | Posted in Data Interpretation

Data Interpretation Questions With Answers: Direction for next 4 Data Interpretation Questions: Answer the data interpretation questions based on the following information:

The year is 2089. Beijing, London, New York and Paris are in contention to host the 2096 Olympics. The eventual winner is determined through several rounds of voting by members of the IOC with each member representing a different city. All the four cities in contention are also represented in IOC.

In any round of voting the city receiving the lowest number of votes in that round gets eliminated. The survivor after the last round of voting gets to host the event.

A member is allowed to cast votes for at most two different cities in all rounds of voting combined. (Hence, a member becomes ineligible cast a vote in a given round if vote the city (s) he votes for in earlier rounds are out of contention in that round of voting).

A member is also ineligible to cast a vote, in round if the city (s) he represents is in contention in that round of voting.

As long as the member is eligible, (s) he must vote and vote for only one candidate city in any round of voting.

The following incomplete table shows the information on cities that received the maximum and minimum votes in different, the number of votes cast in their favor and the total votes that were cast in those rounds.

Round

Total Votes cast

Maximum votes cast

Eliminated

City

No. of votes

City

No. of votes

1

London

30

New York

12

2

83

Paris

32

Beijing

21

3

75

It is also known that

All those who voted for London and Paris in round 1, continued to vote for the same cities in subsequent rounds as long as these cities were in contention. 75% of those who voted for Beijing in round 1, voted for Beijing in round 2 as well.

  • Those who voted for New York in round 1, voted either for Beijing or Paris in round 2.
  • The difference in votes cast for the two contending cities in the last round was 1.
  • 50% of those who voted for Beijing in round 1, voted for Paris in round 3.

1. What is the number of votes cast for Paris in round 1?

a. 16

b. 18

c. 22

d. 24

2. What percentage of members from among those who voted for Beijing in round 2 and were eligible in vote in round 3, voted for London?

a. 33.33

b. 38.10

c. 50

d. 66.67

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Data Interpretation Questions

October 29th, 2009 | 3 Comments | Posted in Data Interpretation

Data Interpretation Questions: Directions for next 4 DATA INTERPRETATION QUESTIONS: Answer the data interpretation questions on the basis of the information given below.

Purana and Naya are two brands of kitchen mixer grinders available in the local market. Purana is an old brand that was introduced in 1990, while Naya was introduced in 1997. For both these brands, 20% of the mixer grinders bought in a particular year are disposed off as junk exactly two years later. It is known that 10 Purana mixer-grinders were disposed off in 1997. The following figures show the number of Purana and Naya mixer- grinders in operation from 1995 to 2000, as at the end of the year.

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1. How many Naya mixer-grinders were purchased in 1999?

a. 44

b. 50

c. 55

d. 64

2. How many Naya mixer-grinders were disposed off by the end of 2000?

a. 10

b. 16

c. 22

d. 26

3. How many Purana mixer-grinders were purchased in 1999?

a. 20

b. 23

c. 50

d. 55

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CAT Data Interpretation Questions

October 21st, 2009 | 3 Comments | Posted in Data Interpretation

Data InterpretationQuestions: Direction for next 4 Data Interpretation Questions questions: The following pie chart and tables give information about the cement industry.

Data Interpretation

1. How much cement was produced in 1994-95 (in million tones), if all raw material other than coal were in abundance?
a. 40.36
b. 41.12
c. 41.36
d. 41.21

2. If the coal supplied to the cement industry had been 10% more than original value in 1994-95, then how many additional million tones of cement would have been produced?
a. 4.036
b. 4.112
c. 4.136
d. Cannot be determined

3. If the production cost of cement is Rs 8,500 per tonne, then what is the contribution of overheads to the cost of producing 500 kg of cement?
a. Rs. 106.25
b. Rs. 111 25
c. Rs. 212. 50
d. Rs. 223

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