How To Solve Data Interpretation Questions? | Quantitative Aptitude Notes

Data Interpretation is an essential part of Quantitative Aptitude Section of every Banking Examination. 10-15 questions in every Preliminary Banking Examination are from Data Interpretation. And when we talk about Mains Examination, SBI has always conducted it’s mains examination keeping the name of the Quantitative Aptitude Section as Data Analysis & Interpretation and IBPS PO 2017 too is going to follow the same pattern. So, we hope, now you understand how important it is for a banking aspirant to practice Data Interpretation.

The DI’s generally asked are Tabular DI’s, Bar Graphs, Line Graphs, Cumulative Bar Graph, Pie Chart, Radar Graph, and Missing DI. The new pattern DI’s that are now being asked in the exams can be based on any miscellaneous topics like Time and Work, Pipes and Cisterns, etc. So one cannot expect the old pattern questions only that used to be based on simple Profit and Loss, Percentage or Ratio and Proportion Concept. Any of the old or new pattern DI’s can be asked in the upcoming banking examinations. 

To solve a DI efficiently, you need to brush up your calculation skills, you need to perform calculations faster and accurately. The difficult DI’s should be solved within 10-12 minutes. The DI of moderate level should not consume more than 7-9 minutes of the time and easy DI’s should be finished within 3.5-4 minutes. If the time that you take while solving different DI’s is more than the time affirmed above, then you really need to work on it.

The only way out to solve DI’s efficiently is a constant practice. The more you practice, the better you get. And to let you practice and make the grades in the Quantitative Aptitude Section of all the Banking Examinations, Bankersdda provides you with daily quizzes on the blog as well as Adda247 Mobile App. Knowledge is of no value unless you put it in practice. Keep practicing because that’s the only key to success.

Example DI’s:

Directions (1-5): The following pie-chart and table show the percentage distribution of farmers in 5 different states of India who claimed suicide due to poverty in the year 2016 and ratio of male to female in them respectively. Study the graphs carefully and answer the following questions. 

Note: In these charts, some data are missing. If required in any question, find them first and then proceed.

Q1. No. of farmers who claimed suicide in state Haryana is 100% more than that in state MP. Find the total no. of male farmers who claimed suicide in state MP?

(a) 26,500

(b) 25,600

(c) 24,600

(d) 25,500

(e) None of these 

Q2. The difference between number of farmers who claimed suicide in the state Maharashtra and UP, Bihar together is 10,240. Find the number of male farmers who claimed suicide in UP is what percent of total farmers who claimed suicide in Haryana? 

(a) 48%

(b) 55%

(c) 50%

(d) 52%

(e) 54%

Q3. Total male farmers who claimed suicide in state Maharashtra are 46,080 more than the female farmers in the same state. Find, the average number of farmers who claimed suicide in states Haryana, Maharashtra and Bihar together is approximately what percent less than the number of male farmers who claimed suicide in Maharashtra? 

(a) 8%

(b) 11%

(c) 12%

(d) 6%

(e) 4%

Q4. What is the ratio of female farmers who claimed suicide in state Bihar to the female farmers who claimed suicide in state Haryana if number of male farmers in Bihar who claimed suicide was 20,480? 

(a) 3 : 2

(b) 2 : 3

(c) 3 : 4

(d) 4 : 3

(e) None of these

Q5. In year 2017, if the percentage of suicide claimed in state Maharashtra is reduced by 15% than previous year then the total number of farmers who claimed suicide in state Maharashtra in 2017 is what percent more or less than the total farmers who claimed suicide in state Haryana in 2016 (rounded off to two decimal places) 

(a) 26.24%

(b) 17.82%

(c) 24.42%

(d) 20.42%

(e) 16.34%

Directions (Q6-10): Study the table and answer the given questions.

Data related to Human Resource Dept. of a multinational company (X) which has 145 offices across 8 countries.

  

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