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CAT Quantitative Aptitude Shortcut Methods

CAT Introduction to Table based DI - Practice Questions & MCQ

Edited By admin | Updated on Sep 25, 2023 25:47 PM | #CAT

Quick Facts

  • 2 Questions around this concept.

Solve by difficulty

Directions for question:

The following table shows the expenditure behind employee wages and the value of the annual production of six of the top manufacturing companies in India, in the financial year of 2021-22 :

Manufacturing Company Annual Employee Wages (thousand crores of Rs) Annual Production (thousand crores of Rs)
Reliance Petrochem 3.1 360
Tata Steel 3.4 219
Larsen & Toubro 1.5 135
Tata Motors 2.8 128
Hindustan Unilever 1.5 113
Dabur 1.1 96

The following pie-chart shows the break-up of the number of employees of the companies as a percentage of the total number of the employees of the six companies, which was 6 lakhs in 2021-22  :

Annual Wages per employee and Annual Production per employee are the average Annual Wages and Annual Production per employee of a company respectively.

Question:

If Annual Wages as a percentage of the Annual production were calculated for all the six companies, who would rank third in the descending order ? 

 

 

 

 

 

 

Directions for question:

The following table shows the expenditure behind employee wages and the value of the annual production of six of the top manufacturing companies in India, in the financial year of 2021-22 :

Manufacturing Company Annual Employee Wages (thousand crores of Rs) Annual Production (thousand crores of Rs)
Reliance Petrochem 3.1 360
Tata Steel 3.4 219
Larsen & Toubro 1.5 135
Tata Motors 2.8 128
Hindustan Unilever 1.5 113
Dabur 1.1 96

The following pie-chart shows the break-up of the number of employees of the companies as a percentage of the total number of the employees of the six companies, which was 6 lakhs in 2021-22  :

Annual Wages per employee and Annual Production per employee are the average Annual Wages and Annual Production per employee of a company respectively.

Question:

For which company is the Annual Wages per employee the highest ? 

 

 

 

 

 

 

 

Concepts Covered - 1

Introduction to Table based DI

Introduction: Table-based Data Interpretation is a fundamental skill for understanding and drawing insights from data presented in tabular format. This skill is valuable for making informed decisions and solving real-world problems that involve data analysis. Here, we will explore the key principles and techniques involved in Table-based Data Interpretation.

1. Understanding Table Structure:

  • Tables consist of rows and columns.
  • The top row typically contains column headings or labels that describe the data within each column.
  • Rows below the headings represent individual entities, such as products, time periods, or geographic regions.

2. Identifying Data Types:

  • Tables can contain various types of data, including numerical values, percentages, text, or any other relevant information.
  • It's essential to grasp the meaning and context of each column to interpret the data accurately.

3. Extracting Information:

  • Carefully read any associated problem statement or context that specifies what information you need to extract or analyze from the table.

4. Recognizing Trends and Patterns:

  • Examine the data for any discernible trends, patterns, or irregularities. These might include rising or falling values, similarities or differences between rows or columns, or any data outliers.

5. Performing Calculations:

  • Many problems will require you to perform calculations based on the table data. Be prepared to calculate percentages, growth rates, averages, or other relevant metrics to answer questions accurately.

6. Units of Measurement:

  • Pay close attention to the units of measurement used in the table, as these are critical for performing accurate calculations and interpreting the data correctly.

Example Table:

Let's consider an example table to illustrate these concepts:

Year     

Revenue (in millions)

Expenses (in millions)

Profit Margin (%)

2019

100

70

30%

2020

120

85

29.2%

2021

140

95

32.1%

2022

160

110

31.25%

Analyzing the Example Table:

  • This table represents the financial performance of an entity over four years.
  • The "Year" column indicates the respective years.
  • The "Revenue" and "Expenses" columns contain financial figures in millions.
  • "Profit Margin" is presented as a percentage.

Interpreting the Data:

  • You can observe that revenue has steadily increased over the years, from 100 million in 2019 to 160 million in 2022.
  • Expenses have also risen, from 70 million in 2019 to 110 million in 2022.
  • The "Profit Margin" column indicates the profitability, calculated as (Profit / Revenue) * 100. It fluctuates slightly but remains around 30%.

Sample Question: Given the data, you might be asked to determine the year with the highest profit margin. To answer this, calculate the profit margin for each year and compare the values.

Conclusion: Table-based Data Interpretation is a vital skill for anyone working with data. Mastering this skill enables you to make informed decisions and uncover insights from tables of information. Practice with a variety of tables and questions to strengthen your proficiency in interpreting data accurately.

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