## Data Interpretation Questions For Bank

Hello Aspirants, As we all know that Data Interpretation is a vital part of quantitative aptitude section for every competitive exams. Data Interpretation is the process of making sense out of a collection of data that has been processed. This collection of data present in the form of charts.(Like – Tabular Chart, Bar Chart, Pie Chart, Line Chart, Missing Data Chart, Caselet Chart and Radar Chart).So here, In this article we will provide different charts with some questions.These Data Interpretation Questions are important for Bank, SSC, SEBI, NABARD, RBI, LIC, and Other state exams. You can attempt these questions & boost your preparation for your examination.

In the Banking exams Data Interpretation Questions asked in the Prelims as well as Mains exam.There are 3-4 Data Interpretation asked in the mains exam (Bank).You want to score more in the Data Interpretation section then you should practice more and more Data Interpretations questions.

This “Data Interpretation Questions and Answers” is also important for other banking exams such as SBI PO, IBPS PO, IBPS Clerk, SBI Clerk, IBPS RRB Officer, IBPS RRB Office Assistant, IBPS SO, SBI SO and other competitive exams.

## Data Interpretation Questions Quiz-19

Directions:(1-5) Answer the questions based on the information given below.

The bar graph given below shows the number of cars manufactured (in thousands) and the respective percentage of those cars sold by five different companies in 2017.

1.What is the difference between the cars sold by Maruti and cars sold by Mahindra in 2017?

A 4900
B 4700
C 5100
D 5300
E None of these

Total number of cars sold by Maruti in 2017 = 0.58 × 90000 = 52,200

Total number of cars sold by Mahindra in 2017 = 0.67 × 70000 = 46,900

Desired difference = 52200 – 46900 = 5,300

2.What is the ratio of the number of Toyota cars that remained unsold in 2017 to the number of Honda cars that remained unsold in 2017?

A 4:5
B 16:25
C 5:6
D 25:36
E 4:7

Total number of Toyota cars that remained unsold in 2017 = 0.28 × 60000 = 16,800

Total number of Honda cars that remained unsold in 2017 = 0.35 × 75000 = 26,250

Desired ratio = 16800 : 26250 = 16:25

3.In 2018 the number of cars manufactured by Hyundai cars increased by 15% and the number of cars sold by Hyundai cars also increased by 22% with respect to previous year. Find the number of cars that remained unsold in 2018.

A 32464
B 32564
C 32664
D 32764
E 32864

Total number of Hyundai cars manufactured in 2018 = 1.15 × 80000 = 92,000

Total number of Hyundai cars sold in 2017 = 0.61 × 80000 = 48,800

Total number of Hyundai cars sold in 2018 = 1.22 × 48800 = 59,536

Total number of Hyundai cars that remained unsold in 2018 = 92000 – 59536 = 32,464

4.What are the average numbers of unsold cars by all the five companies together in 2017?

A 26,730
B 26,830
C 26,930
D 27,030
E None of these

Total number of Toyota cars that remained unsold in 2017 = 0.28 × 60000 = 16,800

Total number of Maruti cars that remained unsold in 2017 = 0.42 × 90000 = 37,800

Total number of Honda cars that remained unsold in 2017 = 0.35 × 75000 = 26,250

Total number of Hyundai cars that remained unsold in 2017 = 0.39 × 80000 = 31,200

Total number of Mahindra cars that remained unsold in 2017 = 0.33 × 70000 = 23,100

Total number of unsold cars in 2017 = 16800 + 37800 + 26250 + 31200 + 23100 = 1,35,150

Average number of unsold cars in 2017 = 135150 ÷ 5 = 27,030

5.Total number of cars manufactured by Toyota and Honda together in 2017 is what percent of the number of cars manufactured by Hyundai and Mahindra together in 2017?

A 10%
B 80%
C 90%
D 20%
E 25%

Directions:(6-10) Answer the questions based on the information given below.

The line graph given below shows the total number of employees (in thousands) and out of them the number of male employees (in thousands) working in five different companies of India.

6.What is the difference between the number of female employees working in Wipro and Google together and the number of female employees working in IBM and TCS together?

A 12000
B 15000
C 13000
D 14000
E None of these

Number of female employees in Wipro = 32000 – 20000 = 12,000

Number of female employees in Google = 48000 – 28000 = 20,000

Number of female employees in IBM = 38000 – 17000 = 21,000

Number of female employees in TCS = 54000 – 29000 = 25,000

Desired difference = (21000 + 25000) – (12000 + 20000) = 46000 – 32000 = 14,000

7.30% of the employees from Microsoft left the job. Male to female ratio who left the job is 4:1, respectively. Find the ratio of the number of males to the number of females who are currently working in Microsoft. [No new employee joined the company]

A 12:7
B 212:103
C 2:1
D 21:10
E 223:111

8.In US the number of male employees and female employees working in Google are 15% and 39%, respectively more than India. Total employees working in Google in US are what percent more than the number of employees working in Google in India?

A 18%
B 22%
C 28%
D 20%
E 25%

9.What are the average numbers of female employees working in all the five companies together?

A 17400
B 17800
C 18200
D 18600
E 19000

Number of female employees in Wipro = 32000 – 20000 = 12,000

Number of female employees in Google = 48000 – 28000 = 20,000

Number of female employees in Microsoft = 45000 – 32000 = 13,000

Number of female employees in IBM = 38000 – 17000 = 21,000

Number of female employees in TCS = 54000 – 29000 = 25,000

Total number of female employees in all the five companies = 12000 + 20000 + 13000 + 21000 + 25000 = 91,000

Average number of female employees = 91000 ÷ 5 = 18,200

10.53% of the female employees working in IBM are post graduate and 55% of the females working in Google are post graduate. Find the difference in the female employees of IBM and Google who are post graduate.

A 110
B 130
C 910
D 1100
E 1300