Data interpretation for CAT along with logical reasoning forms a separate section in CAT exam. A total of 32 questions are included from this overall section and 17 questions are included from the data interpretation section. The complete details about the CAT data interpretation are explained here in detail along with its syllabus and other related topics.
Data Interpretation For CAT: Overview
Total Questions in CAT Data Interpretation Section |
17 |
Total Marks in Data Interpretation For CAT Section |
51 |
Type of Questions in Data Interpretation Section |
MCQs and TITA (non-MCQ) |
Total MCQs in DI Section |
24-26 |
Total Non-MCQs (TITA) in DI Section |
8-10 |
Difficulty in Data Interpretation For CAT Section |
Easy to Moderate |
Marking Scheme in QA Section For CAT |
+3 (For Correct Answer) -1 (For Incorrect Answer) 0 (For Unmarked Answer) |
The complete details about the CAT DI section are explained below which along with a few tips that can help the CAT candidates to easly attempt the CAT DI questions and score well in this section.
Common Admission Test also (CAT) is a national level examination for candidates aspiring to take management courses like MBA from the country’s premier B-schools like IIMs. It is a computer-based exam which is conducted by the Indian Institutes of Management (IIM). This exam scores a candidate based on his/her skills on quantitative ability, data interpretation, verbal ability and logical reasoning.
Data Interpretation is one of the most important sections in the CAT exam. Data Analysis or Data Interpretation as the name suggests is all about data. The Data Interpretation Section of CAT checks the aspirant’s ability to understand and analyze data and make critical decisions based on it. To score good marks in this section, it is important that candidates read all the given data carefully.
What is Data Interpretation for CAT?
Data Interpretation is the section which consists of charts and tables, myriad of graphs, from which candidates will have to analyze and glean data. The key to crack data interpretation is to quickly identify the key pieces of the data given in the question.
The data interpretation questions may seem lengthy but the key to solving these questions is to identify the important pieces of data and approach the question in a step by step process. Charts, venn diagrams, myriad graphs, tables, etc. usually dominate the data interpretation section. Aspirants can use the following strategy to solve data interpretation questions.
- Familiarity
- Conditions
- Reasoning
- Sequence of Solutions
As the CAT does not have a predefined exam syllabus, a huge number of aspirants face difficulty and get confused during their preparation. But candidates should note that questions are normally asked from very few repeating topics every year. So, aspirants are suggested to go through the CAT syllabus and get well familiar with the related details and prepare accordingly.
CAT Data Interpretation Syllabus:
Data Interpretation Syllabus |
Tables |
Caselets |
Column Graphs |
Bar Graphs |
Venn Diagrams |
Line Charts |
Pie Chart |
The basic concept that operates behind data interpretation questions is to test candidates on their ability to make decisions and establish what would be the best for different situations. Each set of DI question in CAT exam generally consists of multiple conditions and candidates are supposed to use the clues to solve the questions.
Related Articles:
Types of Graphs in CAT DI |
Line Graphs |
Data Caselets |
3 I’s to Solve CAT DI Questions Easily |
Data Interpretation Tips |
Tips to solve CAT Data Interpretation questions
- Candidates should read the figures given carefully and should not over approximate to simplify their task.
- Candidates should not assume data or information that is not mentioned in the questions.
- Candidates should improve their speed, as data interpretation questions revolve around arithmetic and calculation speed.
The competition is increasing over the years with numerous CAT aspirants applying for the exam every year. So, aspirants are required to be dedicated and well-focused for the exam. With proper preparation, the data interpretation questions can be solved easily and admission into the IIMs or any other prestigious B-School can be easily acquired.
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