Data Interpretation Questions for Competitive Exams

Data Interpretation: Data Interpretation Questions are usually asked in  all competitive exams like SSC, SBI, IBPS, RBI, LIC, RRB, AAI, DRDO, ISRO, NTR, FSSAI, CWC, LIC, SSC CGL, Railways and other state government exams. 
Data Interpretation questions require clear observation of charts like pie chart, bar chart, radar chart, line chart, table chart. On this page, we are providing all varieties of Data Interpretation Questions along with previous year Data Interpretation Questions.
Data Interpretation Questions are usually based on basic knowledge of arithmetic & fast calculation which includes good command on multiplication, division, addition, subtraction along with Vedic Math. 
Data Interpretation Questions is a very important section of Quantitative Aptitude. Most of the questions come from Data Interpretation in Quantitative Aptitude section.

Set-13
Read the following Graph and answer the   questions carefully. The following diagram shows different ores exported by various companies in 2017.

1. Avg tones of total gold exported by all companies is what percentage of all ores exported by Company C in 2017?

Ans:2
Avg tones of total gold = (15+10+12+11)/4 = 48/4 = 12 tones
All ores exported by Company C = 16+12+8 = 36 tones
percentage = (12/36)*100 = 33.33 %

 

2. What percentage of increase or decrease in total Quantity of Gold ores exported than to the total quantity of coal ores exported?

Ans:3
total Quantity of gold ores = 48 tones
total Quantity of coal ores = 53 tones
this information shows that percentage of decrease will be our result
decrease percentage = (5/53) *100 = 9.4% decrease.

 

3. Which of the following companies are exported the second maximum tones of ores in the year 2017?

Ans:1
total ores
A =35, B=35, C =36, D= 45
So, C exported Second maximum tones of ores.

 

4. In 2018, the quantity of gold ore exported is 50% more than the total quantity of gold ore exported by all companies in 2017. Similarly silver exported in 2018 is 20% greater than the total quantity of silver ore exported by all companies in 2017. Find the ratio of gold ore exported to the silver ore?

Ans:2
total Quantity of gold ore = 48
In 2018 50% increase = (50/100) *48 = 24
total Quantity will be exported = 72.
total Quantity of silver ore = 50
In 2018 20% increase = (20/100)* 50 =10
total Quantity will be exported = 60.
Ratio= 72:60 = 6:5.

 

5. Total Quantity of ores exported by company C is what percentage of total ores exported by company D?

Ans:1
Percentage = (36/45) *100
= 80%

 

Set-14
The pie chart given below shows the percentage distribution of various departments in an organization and followed table gives information about male- female ratio. Read the pie chart and answer the following Questions:

Total Employees in Organization = 45,000

6. What is difference between total no. of Female to the total no.of males?

Ans:3
Department = M : F
Production = 6250 : 5000
Sales = 10500 : 5250
Accounts = 2700: 4050
Quality Testing = 750: 3750
Maintenance = 1500: 5250
Total no of male = 21700
Total no of Female = 23300
Difference between total female to total male = 23300 – 21700 = 1600.

 

7. The males in production department are approximately what percentage of total number of persons in Maintenance?

Ans:3
Percentage = (6250 / 6750)*100
= 92.59% = 93%

 

8. What is the ratio of Average number of females in Production and Quality testing department to the Average number of males in sale and maintenance?

Ans:2
females= 5000+3750= 8750
males = 10500+1500 = 12000
F: M = 8750:12000 = 35:48

 

9. What percentage more/less than the number of males in production department to the number of females in maintenance department(approx)?

Ans:3
Increase percentage = [(6250-5250) /5250] * 100 = 19%

 

10. Total number of females in maintenance, production and sales is what percentage of total number of male employees in organization? (Approximately)

Ans:4
Total number of females in maintenance production and Sales = 5250+5000+5250= 15500
Total number of males = 21700
Percentage = 15500 / 21700 *100 =71.428 = 72%

 

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8 thoughts on “Data Interpretation For Prelims”

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