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-11 Study the following pie chart and bar chart and answer the following questions, percentage wise distribution of food package (lunch and soft drinks)in six different schools Total no of food package (lunch and soft drinks)= 6000 Percentage of foods
Number of food package (only lunch) out of six thousand foods in each school separately
1. What is the total number of soft drinks in school C, school E and number of lunch in School D together?
Ans:3 School C soft drinks = ((6000*26)/100) – 900 => 660 School E soft drinks = ((6000*29)/100) – 1200 => 540 School D Lunch = 600 Ans = 660+540+600 => 1800
2. What is the respective ratio between the number of lunch in school C and number of soft drinks in school B and total number of food package (lunch + soft drink) in school E?
Ans:1 Number of lunch in school C = 900 Number of soft drinks in school B = ((6000*9)/100) – 400 => 140 Number of foods in school E = ((6000*29)/100) => 1740 Ratio = 900: 140: 1740 45: 7: 87
3. What is the difference between the total number of food package in school F and the number of Lunch in school E?
Ans:3 Number of lunch in school E = 1200 Number of foods in school F = ((6000*6)/100) => 360 Difference = 1200-360 = 840
4. In Which school the total numbers of Foods (both lunch and soft drinks) together are equal to the no of soft drinks in school E?
Ans:2 Number of soft drinks in school E = ((6000*29)/100) – 900 => 540 Total number of foods in school B = ((6000*9)/100) = 540 Ans = School B
5. Number of soft drinks in school A is approximately what percent of total number of food package in school B?
Ans:1 Number of soft drinks in school A = ((6000*12)/100) – 500 => 220 Total number of foods in school B = ((6000*9)/100) = 540 Percentage = (220/540)*100 = 41%
Set-12 Read the Bar chart given below carefully and answer the following questions. The percentage of boy and girl babies out of total babies born in the corresponding year.
6. What is total number of girl babies born in the year of 1994, 1995 and 1996?
7. Total number of boy babies in the year of 1996, 1997, 1998 is what approximately percentage of total number of girl babies in the year of 1995, 1996, 1997?
Ans:2 Total number of boy babies In the year of 1996, 1997, 1998 = 495+350+520 = 1365 Total number of girl babies In the year of 1995, 1996, 1997 = 390+405+350 = 1145 Percentage = (1365 /1145) *100 = 119.2 = 120%
8. What is the ratio of number of girl babies in all the years and total number of babies in the year of 1996, 1997 and 1998?
Ans:4 Total number of girl babies in all the years = 1665 Total number of babies in the Year of 1996, 1997 and 1998 = 2400 Ratio = 1665: 2400 = 111: 160
9. Which of the following year the difference between no. of boy babies and no. of girl babies is maximum?
Ans:4 Difference: 1994 = 80; 1995 = 180; 1996 = 90; 1998= 240. So, 1998 is maximum.
10. What is the Approximate percentage of increase / decrease in the Avg. No. of boy babies in all the year to the Avg. no. of number of girl babies in all the years expect 1996?
Ans:1 Avg. no. of boy babies = 347 Avg. no .of girl babies (except 1996) = 315 Approximate Percentage = ((347 -315)/ 315) *100 = 10.15 = 10% increase.
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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
Very interesting details you have remarked, thank
you for posting.!
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