CAT Syllabus 2022: Logical Reasoning, Data interpretation, Mathematics, English

CAT or Common Admission Test is one of the famous exams that is conducted by Indian Institutes of Management for determining the eligibility clearance of Post graduate management programs for IIM and various Management institutes. The syllabus pattern of CAT exam is decided by the effective panel of IIM professors and research team. From its past exam survey we notices that the syllabus of CAT exam are from General Aptitude, English proficiency, data interpretation, subject knowledge and queries from contemporary happenings.

CAT Syllabus 2022 In Detail

English Verbal Knowledge: CAT strongly recommended this; an applicant must be verbally strong in English language.  An applicant must be proficient in reading comprehension, antonyms and synonyms, matching words detection, sentence correction, Idioms etc. so; you can expect a question pattern like that.

Mathematics Knowledge: As you are applying for a business course, you can expect some arthamatical questions in CAT Syllabus. From 2007, to now the repeated of pattern of mathematical related questions are  found in CAT  are such as Number systems, probability related question, Profit and Loss, algebra, linear equation and Percentage calculation.

Data interpretation:  Data interpretation is simply defined as the collection of numerical data and statically analyzed it through texts, tables, graphs, charts and diagrams. Apart CAT exam, the data interpretation type of exams are mostly found in IBPS, SBI-PO,MBA, SSC CGL, CBI, CPO and CLAT.

Logical Reasoning:  logical reasoning is the process for getting a conclusion through systematic method mathematical procedures.  Expected questions of this section are from the topic areas of matrix arrangement, premise, conclusion, assumption, blood relation and binary logic.

Normalization of CAT Scores

CAT 2022 shall be conducted in three sessions. Three different Test Forms shall be administered in
three Test Sessions. In order to ensure fairness and equity in comparison of performances of candidates
across different test sessions, the scores of candidates shall be subjected to a process of Normalisation.
The Normalisation process shall adjust for location and scale differences of score distributions across
different forms. After normalisation across different forms, the scores shall be further normalised across
different sections. The Scaled Scores obtained by this process shall be converted into percentiles for
purposes of shortlisting.

For reporting purposes, Scaled Scores for each section (Section I: Verbal Ability and Reading
Comprehension (VARC), Section II: Data Interpretation and Logical Reasoning (DILR), and Section III:
Quantitative Ability (QA)) and Total along with the Percentiles shall be published.

The process of Normalisation is an established practice for comparing candidate scores across multiple
Test Forms and is similar to those being adopted in other large educational selection tests conducted
in India, such as the Graduate Aptitude Test in Engineering (GATE). For normalisation across sections,
we will use the percentile equivalence.