Updated By Intajur Rahaman on 03 Dec, 2024 20:58
Registration Starts On November 14, 2024
The CMAT 2025 syllabus, set by AICTE, includes five main sections, with Quantitative Techniques and Data Interpretation focusing on arithmetic, algebra, and numerical problems. No changes are expected in the syllabus this year. A thorough understanding of the CMAT syllabus is crucial for success.
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Predict NowThe Common Management Admission Test (CMAT) 2025 Quantitative Techniques and Data Interpretation section is one of the major components of the exam and it specifically tests and assesses the knowledge of mathematical concepts and analytical skills of candidates. The CMAT syllabus for Quantitative Techniques and Data Interpretation includes topics like percentages, averages, and ratios; algebra; geometry; number systems; set theory; data interpretation through tables, graphs, and charts; and data sufficiency.
Check out the major highlights for CMAT Quantitative Technique & Data Interpretation section below:
Particulars | Details |
|---|---|
Section Name | Quantitative Techniques & Data Interpretation |
Total Questions | 20 |
Marks per Question | +4 for a correct answer, -1 for an incorrect answer |
Total Marks | 80 |
Question Types | Multiple Choice Questions (MCQs) |
Difficulty Level | Moderate to High |
Here’s a detailed Quantitative Technique & Data Interpretation Syllabus for CMAT 2025:
Subject | Topics |
|---|---|
Arithmetic | Percentages, Profit and Loss, Ratio and Proportion, Time and Work, Time, Speed and Distance |
Algebra | Linear and Quadratic Equations, Inequalities, Simplifications |
Number System | Divisibility Rules, Factors, LCM and HCF, Modular Arithmetic |
Geometry and Mensuration | Basic Geometry, Properties of Triangles, Circles, Polygons, Area, Volume, Surface Area |
Probability and Statistics | Basic Probability, Mean, Median, Mode, Variance, Standard Deviation |
Data Interpretation (DI) | Tables, Bar Graphs, Pie Charts, Line Graphs, Caselets, Data Comparison, Logical DI |
Sets and Venn Diagrams | Set Theory Basics, Intersection, Union, Problems Involving Venn Diagrams |
Series and Progressions | Arithmetic Progression (AP), Geometric Progression (GP), Series Completion |
Mathematical Logic | Simple Equations, Logical Quant Questions |
Miscellaneous Topics | Permutations and Combinations, Mixtures and Alligations |
In order to prepare for the CMAT Quantitative Technique & Data Interpretation section effectively, you must have access to the following books and study materials:
You may follow the tips mentioned below to enhance your preparation for the CMAT Quantitative Technique & Data Interpretation section:
Number Skill fundamentals like arithmetic, algebra, and geometry should be sound. Percentages, ratios, averages, and basic number skills are part of the question's backbone, so it's a good idea to practice regularly in these areas.
Concentrate your efforts on the diligent practice of wide-ranging questions in data interpretation. These include but are not limited to, tabulating analysis, bar graphs, line graphs, pie charts, and data sufficiency problems.
Realistically, the questions in data can appear in various forms; therefore, exposure to different types of questions will significantly enhance your speed and accuracy when faced with them.
This would again be a significant constraint in the QT & DI sections. So, it would be necessary to practice the timed performance of questions to improve speed and productivity.
Remember to allocate time to each question, and during the test, take seriously the step of allocating the given amount of time to that particular question to answer for better performance.
Accuracy in the answers to questions is critical. Don't overthink; focus on accuracy first and then work to reduce the time you take to solve a question with increased confidence.
Going through the papers from last year is an excellent strategy that would help you understand the types of questions usually asked and their corresponding degrees of difficulty.
Also, this review gives you a much clearer insight into how the questions are structured and framed.
Take as many mock tests as you can. Mock tests represent the actual test scenario and go a long way in practicing and perfecting one's test strategies. Moreover, practice sets will help cover a broader spectrum of areas, enriching and elevating exam preparation.
There are several shortcuts in arithmetic and algebra. These shortcuts save a lot of time when calculating. Learn and practice different tricks to increase your problem-solving speed during exams.
Try to solve as many problems as possible on paper rather than a calculator. That way, you shall give your mind excellent exercises, increase your speed, and be able to take up the challenges of solving these problems even more efficiently when you are in an examination environment.
Some DI sets involve complex calculations. Learn how to approach these questions logically to minimize your calculation time. For instance, estimate answers or look for patterns in data to avoid unnecessary calculations.
Want to know more about CMAT
The CMAT 2025 Quantitative Techniques and Data Interpretation section comprises a total of 25 questions in general. However, the candidates must still cross-verify the same pattern of CMAT 2025 from the official website, as information on the website must be confirmed.
The difficulty level for the CMAT Quantitative Techniques and Data Interpretation section is generally moderate, with a mix of purely arithmetic problems and somewhat challenging DI problems.
Yes, there are calculation-based DI questions in CMAT 2025. These questions may even demand intensive calculations because of some data interpretation. The type may include percentages, ratios, and comparisons in the face of different graphs and charts.
No significant changes in the syllabus for the Quantitative Techniques and Data Interpretation section for CMAT 2025 have been announced. The syllabus is expected to remain similar as compared to previous years.
The topics included in the CMAT 2025 syllabus for Quantitative Techniques and Data Interpretation are arithmetic, including percentages, averages, and ratios; algebra; geometry; number systems; set theory; data interpretation through tables, graphs, and charts; and data sufficiency.
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