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Practice Questions on Data Interpretation - 2 | Quantitative Techniques for CLAT PDF Download

Directions for questions 1 to 3:  Refer to the following information regarding  data interpretation questions and answer them accordingly :
A factory employs three machines M1, M2 and M3 to manufacture three products X, Y and Z. Each machine runs for 12 hours a day. The following table gives the time taken (in minutes) by each machine to manufacture 1 unit of each of the products.
Practice Questions on Data Interpretation - 2 | Quantitative Techniques for CLAT
Q1: What is the maximum number of products that can be manufactured in a day?
(a) 125
(b) 155
(c) 200
(d) 212
Ans:
(d)
Since the maximum number is asked, the machine time of the product being manufactured must be minimum. On machines M1, M2 and M3, products X , Y and Z need minimum time respectively.
Since each machine has 720 minutes of manufacturing time, 72 units of Z, 80 units of Y and 60 units of X can be manufactured on the three machines respectively. Thus, the maximum units that can be manufactured in a day is 212.

Q2: On a particular day, the demand for 40 units of X and 50 units of Y must be met. If the remaining production is of product Z only, what is the maximum number of units of Z that can be manufactured on that day?
(a) 81
(b) 85
(c) 99
(d) None of these
Ans:
(c)
Let X and Y be manufactured on machines where they need minimum manufacturing time.
So, X and Y are manufactured on machines M1 and M2 respectively. Manufacturing 40 units of X on M1 leaves 720 – 480 = 240 minutes of manufacturing time.
So, 24 units of Z can be manufactured on this machine. Manufacturing 50 units of Y on M2 leaves 720 – 450
= 270 minutes of manufacturing time.
So, 15 units of Z can be manufactured on this machine. Since M3 has 720 minutes of manufacturing time, 60 units of Z can be manufactured on this machine. So, the total units of Z that can be manufactured is 99.

Q3: A unit of Y can be manufactured only after 3 units of X and 4 units of Z have been manufactured. What is the minimum time required to manufacture 15 units of Y?
(a) 1359 minutes
(b) 1442 minutes
(c) 1556 minutes
(d) 1655 minutes
Ans:
(a)
Before manufacturing 15 units of Y, 45 units of X and 60 units of Z must be manufactured. X-M1 → 540 minutes, Z-M1(18 units) → 180 minutes, Z-M3(42 units) → 504 minutes , Y-M2(15 units) → 135 minutes. So, the total is 1359 minutes

Directions for questions 4 to 8: The following diagram shows the percentage share of manufacturing sector in total employment in small, medium and large establishments individually. The definitions of small, large and medium establishments are shown below in the diagram
Practice Questions on Data Interpretation - 2 | Quantitative Techniques for CLAT
Note: Small establishments are defined as those with fewer than 100 employees. Medium-sized establishments are defined as those with between 100 and 1500 employees. Large establishments are defined as those with more than 1500 employees. Study the diagram carefully and answer the questions given below:

Q4: In 1981 and 1987 about 50 million and 60 million people were employed in small establishments. What was the difference between the no. of employees employed in manufacturing sector small establishments in 1981 and 1987?
(a) 4.6 million
(b) 13.5 million
(c) 5 million
(d) 6.3 million
Ans:
(a)
Data interpretation formulas:
Reqd Number of employees in 1981 = 50 x 27/100 = 13.5,
Reqd Number of employees in 1987 = 60x30/100 =18.
Required difference = 18 - 13.5 = 4.5

Q5: In 1981 about 30 million employees were there in the large establishment. Then how many employees were there in the medium-sized establishments? (Approximately)
(a) 25 m
(b) 40 m
(c) 35 m
(d) Can't be determined
Ans:
(d)
No relationship is defined between large establishments and medium-sized establishments, thus cannot be determined.

Q6: In 1987, about 40 million employees were there in the large establishments. The population of employees from 1987 to 2000 grew by 60% in large establishments. How many employees were there in the manufacturing sector in large establishments in 2000?
(a) 33.2 m
(b) 69.3 m
(c) 19.2 m
(d) 47.2 m
Ans:
(c)
40 x 1.6 = 64m.
In 2000, there were 64 m x 30/100 = 19.2 m

Q7: Suppose that in 1996, there were 100,000 employees in manufacturing sector. There were 750 small establishments. What was the average number of employed persons per small establishment manufacturing unit?
(a) 36
(b) 41
(c) 56
(d) Can't be determined
Ans: 
(d)
Cannot be determined as total manufacturing employees are given and what is required is the no. of employees in small establishment manufacturing units.
Out of the manufacturing, how many belong to the small manufacturing establishments.

Q8: Which of the following is/are correct?
I. Share of manufacturing employment in small establishment is rising steadily.
II. In large establishments there is growing unemployment.
(a) I only
(b) II only
(c) I and II
(d) Neither I nor II
Ans:
(a)
The data given is related to the manufacturing large establishments and not large establishments in general

Directions for questions 9 to 10: Refer to the graph given below and answer the questions given after that accordingly.
The graph given shows price variation of three types of wood over 1987 – 1993 in Rs/m3. 1 ton = 1000 kg and 1m3 = 800 kg.
Practice Questions on Data Interpretation - 2 | Quantitative Techniques for CLAT
Q9: Maximum increase in price/ m3 for any product for any two consecutive years was in which of the products?
(a) P
(b) ST
(c) L
(d) None of these
Ans:
(c)
It can be seen that it is maximum in case of L in the consecutive years from 1989 to 1990. Be careful, the question is not talking of the percentage increase but of maximum increase.

Q10: In 1993, a company's total sales was made of 40% of P, 30% of ST and 30% of L. The average realization per m3 in 1993 was:
(a) Rs. 8121
(b) Rs. 7211
(c) Rs. 6567
(d) None of these
Ans
: (d)
Find 40% of P in the year 1993 i.e. 9000 x 40/100 = 3600.
Now find 30% of ST 14000 x 30/100 = 4200.
And find 30% of L i.e. 17500 x 30/100 = 5250.
The total is more than 10000, which is not given in any of the options; hence the answer is none of these.

The document Practice Questions on Data Interpretation - 2 | Quantitative Techniques for CLAT is a part of the CLAT Course Quantitative Techniques for CLAT.
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FAQs on Practice Questions on Data Interpretation - 2 - Quantitative Techniques for CLAT

1. What is data interpretation and why is it important in exams?
Ans. Data interpretation is the process of analyzing and making sense of data to derive meaningful insights. It involves understanding and interpreting charts, graphs, tables, and other forms of data representation. In exams, data interpretation is important as it tests the candidate's ability to analyze and draw conclusions from given data, which is a crucial skill in various fields such as business, finance, and research.
2. How can I improve my data interpretation skills for exams?
Ans. Improving data interpretation skills for exams requires practice and familiarity with different types of data representations. Here are some tips to enhance your skills: - Regularly solve practice questions and mock tests specifically focused on data interpretation. - Familiarize yourself with various charts, graphs, and tables commonly used in data representation. - Learn different techniques and shortcuts to quickly analyze and interpret data. - Understand the context of the data and its implications to draw accurate conclusions. - Review your mistakes and learn from them to identify areas of improvement.
3. What are the common types of questions asked in data interpretation exams?
Ans. In data interpretation exams, you may come across various types of questions. Some common question types include: - Calculation-based questions: These require performing calculations based on the given data. - Comparison questions: These involve comparing different data sets or elements within a data set. - Inference questions: These require drawing conclusions or making predictions based on the given data. - Data sufficiency questions: These assess the ability to determine if the given data is sufficient to answer a particular question. - Probability questions: These involve analyzing the probability of an event occurring based on the given data.
4. How can I effectively manage my time while solving data interpretation questions in exams?
Ans. Time management is crucial while solving data interpretation questions in exams. Here are some strategies to effectively manage your time: - Read the question carefully and understand the data representation before attempting to solve. - Quickly analyze the data and identify the key information needed to answer the question. - Prioritize the questions based on difficulty and allocate time accordingly. - Use shortcuts and approximation techniques to speed up calculations. - If you're stuck on a particular question, move on to the next one and come back to it later if time permits. - Practice solving questions under timed conditions to improve your speed and accuracy.
5. Are there any recommended resources or books to prepare for data interpretation exams?
Ans. Yes, there are several resources and books available to help you prepare for data interpretation exams. Some recommended resources include: - "How to Prepare for Data Interpretation for CAT" by Arun Sharma - "Data Interpretation and Logical Reasoning for CAT" by Nishit Sinha - Online platforms and websites that offer mock tests and practice questions specifically focused on data interpretation. - Previous years' question papers of relevant exams to understand the pattern and types of questions asked. - Online tutorials and video lessons that explain different data interpretation techniques and strategies.
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