Taxmann's CRACKER for Quantitative Aptitude (Paper 3 | Maths, LR & Stats) – Covering past exam questions & detailed answers | CA-Foundation | New Syllabus | Jan./May 2025 Exams
Author | : Kailash Thakur |
Publisher | : Taxmann Publications Private Limited |
Total Pages | : 17 |
Release | : 2024-10-19 |
ISBN-10 | : 9789364551960 |
ISBN-13 | : 9364551966 |
Rating | : 4/5 (966 Downloads) |
Download or read book Taxmann's CRACKER for Quantitative Aptitude (Paper 3 | Maths, LR & Stats) – Covering past exam questions & detailed answers | CA-Foundation | New Syllabus | Jan./May 2025 Exams written by Kailash Thakur and published by Taxmann Publications Private Limited. This book was released on 2024-10-19 with total page 17 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is prepared exclusively for the Foundation Level of Chartered Accountancy Examination requirement. It covers the past exam questions & detailed answers strictly as per the new syllabus of ICAI. The Present Publication is the 12th Edition for the CA-Foundation | New Syllabus | Jan./May 2025 Exams. This book is authored by Kailash Thakur, with the following noteworthy features: • As per the new syllabus of ICAI • Coverage of this book includes o Past Exam Questions & Solutions, including the September 2024 Exam (Memory Based) o Additional Questions for Exam in Selected Chapters o Calculator & Shortcut Tricks • [Chapter-wise Marks Distribution] from Dec. 2020 onwards • Chapter-wise Comparison with ICAI Study Material Contents of this book are as follows: • Ratio & Proportion (Time, Work & Distance) • Indices • Logarithm • Linear Equation • Quadratic Equation • Inequalities • Mathematics of Finance – Simple Interest • Mathematics of Finance – Compound Interest • Mathematics of Finance – Annuity • Permutations and Combinations • Sequence & Series • Sets, Function and Relation • Calculus (Limit & Continuity) • Differential Calculus • Integration • Number Series, Coding and Decoding • Direction Tests • Seating Arrangements • Blood Relations • Description of Data • Central Tendency • Measure of Dispersion • Probability • Probability (Theoretical) Distribution • Sampling Theory of Estimation • Correlation • Regression Analysis • Index Numbers