Data Interpretation Questions With Answers

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.

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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Tips on Solving DATA INTERPRETATION Problems

Data may be represented in a number of complex forms, and hence solving Data Interpretation problems becomes far more difficult. There is no fixed format for solving such problems, and each has to be tackled in its own distinct way. Thus, to answer such questions correctly, it is essential to practice all types of Data Interpretation exercises a number of times, so as to be familiar with all the data presentation types. Yet, there are some primary guidelines that can always be followed:

Tips on Solving DATA INTERPRETATION Problems:

a) Read the data very carefully, as the smallest detail may change the meaning of the question completely. Similarly, the instructions have to be understood carefully to prevent wasting time in calculating data that is not required, and also to find out exactly what is the answer that is sought.

b) Try to understand the data provided carefully, before jumping to answer the questions. The questions are designed to be deceptive, and proper understanding of the requirements is a must. If the Data Interpretation is of the Combined variety or if there are more than one data table/charts/graphs, try to understand the relation between the given tables. For Example, one table may talk about absolute sales figures, while the other table may talk of sales as a percentage of production. Hence, any question on excess production or Goods in stock, will require data from both tables.

c) Be very careful of the units used in the tables, and the units in which the answers (options) are provided. A mistake in the units may yield an entirely different answer. Also be careful of whether the answer is required in decimal or percentage. Such errors are common and easily avoidable.

Sample Data Interpretation Questions

sample-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.

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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Data Interpretations Questions

Direction for next 3 data interpretations questions: Study the graph carefully and answer the data interpretations questions that follow.
The graph shows the imports and exports of cotton in rupees crores from 1990-91 to 1994-94.

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1. What is the ratio of the number of years having above average exports to those having below average exports in the given period?
a. 2 : 3
b. 3 : 2
c. 4 : 1
d. 1: 4
e. 1 : 2

2. In which year was the gap in imports and exports the least?
a. 1990-91
b. 1991-92
c. 1992-93
d. 1993-94
e. 1994-95

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Sample Data Interpretation

Directions for next 5 Data Interpretation: Refer to the data below and answer the questions that follow.

Only 2 varieties of rice, A and B are produced in Riceland. Variety B is always in surplus and hence exported Variety A is always in short supply and hence imported. Whatever rice is produced is either consumed or exported. The short supply is met by imports and all imports are consumed in the same year.

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1. Imports, expressed as a percentage of total production, is the highest in the year.
a. 1991
b. 1992
c. 1993
d. 1994
e. Both 1991 and 1994

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Data Sufficiency

Data Sufficiency- Direction for next 3 Data Sufficiency Questions: Each of the following data sufficiency questions consists of a question and two statements, I and II.

Choose
(a) If statements I alone is sufficient but statement II alone is not sufficient to answer the question asked.
(b) If statement II alone is sufficient but statement I alone is not sufficient to answer the question.
(c) If each statement alone is sufficient to answer the question asked.
(d) If I and II together are sufficient to answer the question but neither statement alone is sufficient.
(e) If even I and II together are not sufficient to answer the question.

1. What is the area of DABC?
I. Two of its sides are 6 cm and 7 cm.
II. Its area is at least 21 sq. cm.

2. If a + b + c = 7, what is the value of 1/a + 1/b + 1/c ?
I. a, b and c are distinct natural numbers
II. a + c = 3.

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Download Data Interpretation Questions

Directions for next 5 Data Interpretation Questions: Refer to the line graph below and answer the data interpretation questions that fellow.
The cost price and the selling price of a commodity have been indexed to the respective prices in 1991. The graph given below shows the change in the respective selling price and cost price.

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1. The change in profit was maximum in which one of the following years?
a. 1994
b. 1995
c. 1993
d. 1992
e. 1991

2. What was the profit percent in 1995?
a. 20%
b. 16%
c. 26%
d. 10%
e. None of these

3. In which year did the company make a loss?
a. 1994
b. 1996
c. 1993
d. 1995
e. None of these

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Data Interpretations

Data Interpretations: Directions for next 4 data interpretations questions: Answer the data interpretations questions on the basis of the table given below:

A factory produces A, B, C, D and E which is made from spare parts manufactured by machines M1, M2, M3, M4, M5 and M6.A week is considered from Monday to Saturday. Each machine works for a certain number of hours on four to five days of the week as shown in the following table.

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All products do not need spare parts made by all the machines. The production of spare parts of A, B, C, D and E is done by all the machines independently in that order only.

The following table gives the number of hours required by each machine to product a spare part of each product.

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Note: One unit each of all parts of a specific product after assembling from a set of that product.

1. How many working days in a week are required to manufacture form a set of product B?
a. 2days
b. 3 days
c. 4 days
d. 5 days.
e. 6 days

2. What is the minimum number of working days required to manufacture three sets of product A?
a. 15 days
b. 16 days
c. 17 days
d. 18 days
e. 12 days

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CAT, MAT, XAT and Bank PO Exam Data Interpretation Questions

Data Interpretation Questions: Directions for next 4 CAT data interpretation questions: Answer the data interpretation questions based on the following data.
The number of mobile phones sold in India was 24 lakhs in 2001. The mobile phone market has been growing at the rate of 25% per annum every year since 2001.

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1. If Samsung sold 62,000 units in November 2002, by how much is its sales above the average monthly sales for the year 2002?
a. 16,500
b. 17,000
c. 17,500
d. 18,000
e. 18,000

2. If instead of the normal growth rate, the mobile phone market experiences a rapid growth of 40% for the year 2003 over the previous year and the total market is worth Rs, 3,600 crore in that year, then what is the average value of a mobile phone in 2003?
a. Rs. 8,900
b. Rs. 8,400
c. Rs. 8,600
d. Rs. 8,700
e. Cannot be determined

3. If the total market of Nokia phones is worth Rs. 1,000 crore in 2001, then what is the average value of a Nokia mobile in 2003?
a. Rs. 19,800
b. Rs. 14,600
c. Rs. 17,200
d. Rs. 16,800
e. cannot be determined

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Sample Data Interpretation Questions

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

The number of books in store, number of books sold, number of books ordered but not picked up and sales returns from previous years have been shown in the figures below for Om book store for threes years. The stored opened in the year 2000. Numbers of books in a year include books ordered but not picked up in that year. However, net sales for a year are calculated based on the difference between number of books sold and the sales returns for the year. 60% of books ordered but not picked up, are picked up in the next year and the remaining in the year after that. Numbers of books available for sales at the beginning of the year in store = unsold of last year + Sales returned books of the last year + Fresh purchases for the year are made at the beginning of the year.
Numbers of books sold in a year does not include books from past year which but not picked up.

1. How many units of books were picked up from the store in 2002?
a. 860
b. 700
c. 810
d. None of these

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