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-77
Study the following table carefully and answer the given questions
Temperature in various cities

1. What is the difference between the average temperature of Delhi and that of Chennai? (In degree)

Ans:2
Average temperature of Delhi = (35+37+42+45+47)/5 = 41.2
Average temperature of Chennai =(37+38+41+43+46)/5 = 41
Difference = 41.2-41 = 0.2

2. What is the difference between the average temperature of all cities in May and that if February?

Ans:2
Average temperature of all cities in May = (47+44+46+42+47)/5 = 45.2
Average temperature of all cities in February = (37+34+38+35+42)/5 = 37.2
Difference = 45.2 – 37.2 = 8

3. The average temperature of Hyderabad is approximately what percent more than that of Mumbai?

Ans:2
Average temperature of Hyderabad = (38+42+44+45+47)/5 = 43.2
Average temperature of Mumbai = (32+34+38+41+44)/5 = 37.8
Percentage = [(43.2-37.8)/37.8]*100 = 14.3%

4. What is the ratio of the average temperature of Delhi to that of Kolkata?

Ans:1
Average temperature of Delhi =41.2
Average temperature of Kolkata = (33+35+37+39+42)/5 = 37.2
Ratio = 41.2:37.2 = 103:93

5. What is the average temperature of January?

Ans:4
Average temperature in January = (35+32+37+33+38)/5= 35

Set-78
Study the following information carefully and answer the questions given below:
The line graph shows the export of Rice by a trader (in tonnes).


6. In how many years the quantity of Rice exported is more than the average quantity of Rice exported for the given period?

Ans:2
Average quantity of export of Rice
= (12 + 15 + 10 + 13 + 20 + 22) / 6
= 92 / 6
= 15.33
Thus, in the year 2006 and 2007, the export quantity of Rice was more than average quantity of Rice export.

7. In which year the value of Rice exported per tonne is highest?

Ans:3
Value per tonne = value / tonne
In 2002 = 144 / 12 = 12
In 2003 = 165 / 15 = 11
In 2004 = 130 / 10 = 13
In 2005 = 156 / 13 = 12
In 2006 = 230 / 20 = 11.5
In 2007 = 275 / 22 = 12.5
In the year 2004 the value of Rice exported per tonne is highest

8. In which of the following year the percentage increase in the value of Rice exported over the previous year is minimum?

Ans:1
% increase = Difference / Previous year × 100
2002 to 2003 = (165 –144) / 144 × 100 = 21/144*100= 14.58%
2003 to 2004 = (130-165) / 165 × 100 = 35/165 *100 = 21.21% decrease
2004 to 2005 = (156 – 130) / 130 × 100 =26/130*100= 20%
2005 to 2006 = (230 – 156) / 156 × 100 =74/156*100= 47.43%
2006 to 2007 = (275 – 230) / 230 × 100= 45/230*100 = 19.56
In 2003 the percentage increase in the value of Rice exported over the previous year the minimum

9. What is the difference in the value of Rice per kg which is exported in 2003 to that in 2006?

Ans:4
Difference
= (230 × 1000 / 20 × 1000) – (165 × 1000 / 15 × 1000)
=230000/20000-165000/15000
= 11.5 – 11
= 0.5

10. From 2007 to 2008, if there is a 25% increase in the quantity of Rice exported and 40% increase in the value, then what is the value of Rice exported per kg in 2008?

Ans:5
Quantity of Rice exported in 2008
= 1.25 × 22 tonnes
= 27.5 tonnes
Value of Rice exported in 2017 = 1.4 × 275
= 385 thousand
Value per kg in 2008 = 385/27.5
= 14

Pages: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40

9 thoughts on “Data Interpretation For Prelims”

  7. escape roomy lista

    Hi there, just became aware of your blog through Google, and found that it is really informative.
    I’m gonna watch out for brussels. I’ll appreciate if
    you continue this in future. Numerous people will be benefited from
    your writing. Cheers! Escape roomy lista

  9. Israel

    Hello there! Do you know if they make any plugins to help with SEO?
    I’m trying to get my site to rank for some targeted keywords but
    I’m not seeing very good gains. If you know of any please share.
    Thank you! I saw similar article here: Bij nl

Leave a Comment

Your email address will not be published. Required fields are marked *

Scroll to Top