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Quantitative Aptitude (Maths, LR and Stats) CRACKER at Meripustak

Quantitative Aptitude (Maths, LR and Stats) CRACKER 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
    Edition9th edition
    ISBN9789357783460
    Pages670
    Bindingpaperback
    LanguageEnglish
    Publish YearDecember 2023

    Description

    Taxmann Quantitative Aptitude (Maths, LR and Stats) CRACKER 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 9th Edition for CA-Foundation | June 2024 exams. This book is authored by Kailash Thakur, with the following noteworthy features:

    As per the latest syllabus of ICAI
    Coverage of this book includes
    Past Exam Questions & Answers | Memory Based
    Calculator & Shortcut Tricks
    [Practice Questions] are provided in selected chapters
    [Marks Distribution] Chapter-wise marks distribution from June 2018 onwards
    [Chapter-wise ICAI Study Material Comparison]
    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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