Taxmann's CRACKER for Quantitative Aptitude (Paper 3 | Maths, LR & Stats) – Covering past exam questions & detailed answers | CA-Foundation | New Syllabus | June 2024 Exam

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  • Taxmann's CRACKER for Quantitative Aptitude (Paper 3 | Maths, LR & Stats) – Covering past exam questions & detailed answers | CA-Foundation | New Syllabus | June 2024 Exam Book Detail

  • Author : Kailash Thakur
  • Release Date : 2024-02-12
  • Publisher : Taxmann Publications Private Limited
  • Genre : Education
  • Pages : 24
  • ISBN 13 : 935778795X
  • File Size : 49,49 MB

Taxmann's CRACKER for Quantitative Aptitude (Paper 3 | Maths, LR & Stats) – Covering past exam questions & detailed answers | CA-Foundation | New Syllabus | June 2024 Exam by Kailash Thakur PDF Summary

Book Description: 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 Scheme syllabus of ICAI. The Present Publication is the 10th Edition for the CA-Foundation | New Syllabus | June 2024 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 & Answers, including the Dec. 2023 Exam o Additional Questions for Exam in Selected Chapters o Calculator & Shortcut Tricks • [Marks Distribution] Chapter-wise marks distribution from June 2018 onwards • [ICAI Study Material Comparison] is given chapter-wise 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

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