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Quantitative Aptitude (Maths LR and Stats) Cracker edition 2024 at Meripustak

Quantitative Aptitude (Maths LR and Stats) Cracker edition 2024 by Kailash Thakur, Taxmann

Books from same Author: Kailash Thakur

Books from same Publisher: Taxmann

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  • General Information  
    Author(s)Kailash Thakur
    PublisherTaxmann
    Edition10th edition
    ISBN9789357787956
    Bindingpaperback
    LanguageEnglish
    Publish YearFebruary 2024

    Description

    Taxmann Quantitative Aptitude (Maths LR and Stats) Cracker edition 2024 by Kailash Thakur

    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
    Past Exam Questions & Answers, including the Dec. 2023 Exam
    Additional Questions for Exam in Selected Chapters
    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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