|Topics||Sub Topics||Type of Question|
|Series||Word-based and numerical Analogy, word-based and odd binary pair, missing characters, and classification.||There are 3 to 4 questions from this topic in the exam.|
|Coding||Coding-decoding, symbols, and mathematical operations.||There are 3 to 4 questions from this topic in the exam.
Coding and decoding analyses the candidate’s ability to decipher the code language.
|Arrangement||Blood relations, seating arrangements, ranking, puzzles, and direction sense.||There are 3 to 4 questions from this topic in the exam.
It is one of the most common and essential questions of the section.
|Logic||Syllogism, assumption of inference or conclusion, and Venn diagrams.||There are 2 to 3 questions from this topic in the exam.
These questions require critical thinking and need a lot of time to solve.
|Miscellaneous||Clock and calendar.||There are 0 to 1 questions from this topic in the exam.|
|Non-Verbal||Cube and dices, the sequence of figures, matrix, mirrors and water reflection, paper-cutting, folding, punching, configuration, fitting pieces, and odd pieces.||There are 7 to 8 questions from this topic in the exam.|
|Name of the Book||Author||About the Book|
|Analytical Reasoning||M.K. Pandey||This book is known to contain various conceptual questions along with explanations in its 710 pages.|
|Verbal and Nonverbal Reasoning||R. S. Aggarwal||The book consists of two parts;
The books give its readers a conceptual clarity as it consists of several practice questions along with a valid explanation.
|New Approach to Reasoning Verbal, Non-Verbal, and Analytical||BS Sijwali, Indu Sijwal||The book has two sections:
It consists of previous years’ exam questions with solutions. Candidates can practice with thousands of model questions.
|How to Prepare for Logical Reasoning for CAT and How to Prepare for Data Interpretation for CAT||Arun Sharma||It is a multi-dimensional reasoning book that consists of all topics of verbal and non-verbal reasoning with an explanation.|
|Logical Reasoning and Data Interpretation for CAT||Nishit K. Sinha||The book is best known for its explanation.|