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-31 Study the following table carefully and answer the given questions: Number of solar panel manufactured by the five different companies in the given years (in thousand) and % of defective pieces T – Total no. of solar panel manufactured d – % of defective pieces
1. What is the difference between the numbers of non defective solar panel manufactured by companies A&B together and companies D&E together in the year 2010?
Ans:1 Company A = (14000*99.1)/100 => 13874 Company B = (18000*98.8)/100 => 17784 Company D = (12000*99.4)/100 => 11928 Company E = (16000*99.2)/100 => 15872 Difference = (13874+17784) – (11928+15872) = 3858
2. How many non defective solar panels approximately were manufactured by company B taking all the years together?
9. For company A in Which year is the percentage increase/decrease in the production from the previous year the highest?
Ans:1 Company A ( in lakh ) –> ( 4+3+8+8+8+7+8+12) = 5800000 Company B ( in lakh ) –> ( 1+1+1+2+3+5+7+11) = 3100000 Difference = (5800000 – 3100000) = 2700000
10. What is the difference in the total production of the two companies for the given years?
Ans:2 Company B –>( 1+1+1+2+3+5+7+11) = 31 Average -> 31/8 = 3.87