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The following bar graph gives the information about the number of staffs recruited (in thousand) in three different banks A, B and C in six consecutive years.

Important for :

1

C

The sum of the staffs recruited by the bank A over all the years together = 12 + 60 + 75 + 30 + 8 + 4.5 = 189.5 thousand

The sum of the staffs recruited by the bank C over all the years together = 13 + 50 + 60 + 35 + 6 + 12 = 176 thousand

The reqd. difference of average

The sum of the staffs recruited by the bank C over all the years together = 13 + 50 + 60 + 35 + 6 + 12 = 176 thousand

The reqd. difference of average

= | 189.5 | – | 176 | = | 189.5 – 176 | = | 13.5 | = 2.25 thousand |

6 | 6 | 6 | 6 |

Hence, option C is correct.

2

D

The sum of the staffs recruited by the bank B over all the years together = 14 + 85 + 40 + 15 + 10 + 7 = 171 thousand

The number of staffs recruited by Bank B in the year 2012 and 2017 together = 7 + 14 = 21 thousand

the number of staffs recruited by that bank in all other years together = 171 – 21 = 150 thousand

The number of staffs recruited by Bank B in the year 2012 and 2017 together = 7 + 14 = 21 thousand

the number of staffs recruited by that bank in all other years together = 171 – 21 = 150 thousand

The reqd. % = | 21 × 100 | = 14% |

150 |

Hence, option D is correct.

3

A

The total number of staffs recruited in the year 2013 by all the three banks together = 60 + 85 + 50 = 195 thousand

The total number of staffs recruited in the year 2014 by all the three banks together = 75 + 40 + 60 = 175

The total number of staffs recruited in the year 2014 by all the three banks together = 75 + 40 + 60 = 175

The reqd. % = | (195 – 175) × 100 | = | 20 × 100 | = | 80 | % = 11 | 3 | % |

175 | 175 | 7 | 7 |

Hence, option A is correct.

4

D

The number of staffs recruited in the year 2015 in the bank C = 35 thousand

Number of females recruited by bank C = 40% of 35 = 14 thousand

The total number of staffs recruited in the year 2015 by all the three banks together = 30 + 15 + 35 = 80 thousand

Number of males = 70% of 80 thousand = 56 thousand males

The total number of males in the bank C = 35 – 14 = 21 thousand

The total number of males in the bank A and B together = 56 – 21 = 35 thousand

The total number of females in the bank A and B together = (30 + 15) – 35 = 45 – 35 = 10 thousand

Hence, option D is correct.

Hence, option D is correct.

5

C

The sum of the staffs recruited by the bank B over all the years together = 14 + 85 + 40 + 15 + 10 + 7 = 171 thousand

Let the number of females recruited in the bank A over all the years together = 4x then

the number of males recruited in the bank B over all the years together = 5x = (100 – 40)% of 171 = 60% of 171 = 102.60 thousand

Let the number of females recruited in the bank A over all the years together = 4x then

the number of males recruited in the bank B over all the years together = 5x = (100 – 40)% of 171 = 60% of 171 = 102.60 thousand

x = | 102.60 | = 20.52 |

5 |

Let the number of females recruited in the bank A over all the years together = 4x = 4 × 20.52 = 82.08 thousand

The sum of the staffs recruited by the bank A over all the years together = 12 + 60 + 75 + 30 + 8 + 4.5 = 189.5 thousand

The number of males = 189.5 – 82.08 = 107.42 thousand

Hence, option C is correct.

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What is __Data Interpretation__ and how its useful for __IBPS PO Pre 2019__, IBPS Clerk Mains 2019, IBPS RRB 2019 Etc

In our day-to-day life, data is reported in the newspapers, on television, and in magazines. The data involves business, government, sports and many other topics. It is represented in an organized fashion, making it easy to interpret what you hear and read in the media. Those set of problems is being asked in a different kind of form like Pie Chart di, Bar Chart di, Table Chart di, line chart di and info chart etc.

Now come back to the point data interpretation, Data has to be well organized for it to be useful. This process of interpreting and analysing data to extract meaningful information from it is Data Interpretation. Solving**DI problems** involves the use of basic formulas and manipulation of numbers.

Data Interpretation is calculation-intensive. It consists of a myriad of graphs, charts and tables form which you have to glean and analyse data. The key to cracking this area is to quickly identify the key pieces of data that you require to work on the questions asked.

Problems in**High Level** **Data Interpretation** are probably the closest in resemblance to the kind of problems you will be dealing with as a manager. They test your decision-making ability and speed using the minimum possible data. They help you to draw conclusions from collected data, support decision making and contribute to the better process, product, and quality models.

**There is a important data interpretation questions for IBPS PO Pre 2019**

Data Sufficiency problems involve testing your quantitative concepts. They usually take the form of a logical puzzle. Instead of solving a data sufficiency problem, all you need to do is determine if the given information is enough to solve the problem. To solve **DI Questions & Answers for IBPS PO** Banking and Insurance Exams like RRB, IBPS, NABARD & RBI Grade B, NIACL, and LIC, you need to brush up your calculation skills; you need to perform calculations faster and accurately than others. Difficult Data interpretations 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.

In our day-to-day life, data is reported in the newspapers, on television, and in magazines. The data involves business, government, sports and many other topics. It is represented in an organized fashion, making it easy to interpret what you hear and read in the media. Those set of problems is being asked in a different kind of form like Pie Chart di, Bar Chart di, Table Chart di, line chart di and info chart etc.

Now come back to the point data interpretation, Data has to be well organized for it to be useful. This process of interpreting and analysing data to extract meaningful information from it is Data Interpretation. Solving

Data Interpretation is calculation-intensive. It consists of a myriad of graphs, charts and tables form which you have to glean and analyse data. The key to cracking this area is to quickly identify the key pieces of data that you require to work on the questions asked.

Problems in

1. What is the difference between the average number of staffs recruited by the Bank A over all the years together and that by Bank C over all the years together?

A. 2.5 thousand

B. 2.33 thousand

C. 2.25 thousand

D. 2.45 thousand

E. None of these

B. 2.33 thousand

C. 2.25 thousand

D. 2.45 thousand

E. None of these

2. The number of staffs recruited by Bank B in the year 2012 and 2017 together was what percentage of the number of staffs recruited by that bank in all other years together?

A. 12.28%

B. 13.5%

C. 12.98%

D. 14%

E. None of these

B. 13.5%

C. 12.98%

D. 14%

E. None of these

3. The total number of staffs recruited in the year 2013 by all the three banks together was what percent more than that in the year 2014 by all the three banks together?

A. 80/7%

B. 85//7%

C. 95/7%

D. 75/7

E. None of these

B. 85//7%

C. 95/7%

D. 75/7

E. None of these

4. If 40% of the staffs recruited in the year 2015 in the bank C was female and 70% of the total number of staffs recruited in that year by all the three banks together was male then in that year, what was the total number of females recruited by the bank A and B together?

A. 35 thousand

B. 25 thousand

C. 15 thousand

D. 10 thousand

E. None of these

B. 25 thousand

C. 15 thousand

D. 10 thousand

E. None of these

5. The respective ratio of the number of females recruited in the bank A over all the years together to the number of males recruited in the bank B over all the years together was 4 : 5. In the bank B, 40% of the total number of staffs recruited over all the years together was females, then what was the total number of males recruited by the bank A over all the years together?

A. 82.08 thousand

B. 98.42 thousand

C. 107.42 thousand

D. 102.86 thousand

E. None of these

In these,

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