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CA-CPT Solved Scanner
CA-CPT Solved Scanner - For May 2018 Exam
Chapter-wise Segregated Questions with Their Solutions
Complete Syllabus Of Every Papers
Publication:- Shuchita Prakashan (P) Ltd.
Author/ By:- CA Amar Omar & CA Rasika Goenka
Subject:- CA-CPT Scanner
Year:- January 2018 (including Dec. 2017 Exam Questions)
Edition:- 23 rd Green Edition
Price:- 485/- (Pages 968)
:- Rs.461/- + Dicounted OFFER - 5%
Shipping Charges Applicable
Including Quesions and Solutions of Dec. 2017
Updated as per Companies Act, 2013
Table showing important chapters on the basis of their frequency in examinations.
Question placed in a graded way i.e. chapter wise and unit wise
Graph showing marks, in each chapter, in various attempts
Complete Questions with Answer
A comprehensive Objective Question Based Book
Questions arranged in ascending order of attempts for logical understanding.
Updated as per Schedule III of Companies Act, 2013.
Updated as per Indian Partnership Act, 1932.
Updated as per New Macro Economics.
Updated as per Other Amendments of ICAI.
Contents of CA CPT Scanner
Paper 1- Fundamentals of Accounting:
Accounting : An Introduction
Bank Reconciliation Statement
Preparation of Final Accounts of Sole Proprietors
Accounting for Special Transactions
Paper -2 Mercantile Laws
The Indian Contract Act, 1872
The Sale of Goods Act, 1930
The Indian Partnership Act, 1932
Paper-3 General Economics
Notes on Macro Economics
Introduction to Micro Economics
Theory of Demand and Supply
Unit 1 Theory of Demand
Unit 2 Theory of Consumer Behavior
Unit 3 Theory of Supply
Theory of Production and Cost
Indian Economy- A Profile
Aspects of Indian Economy
Economics Reforms in India
Money and Banking
Paper-4 Quantitative Aptitude
Ration and Proportion, Indices and Logarithm
Simple and Compound Interest Including Annuity Applications
Basic Concepts of Permutations and Combinations
Sequence and Series Arithmetic and Geometric Progression
Sets, Functions & Relations
Limits and Continuity Intuitive Approach
Basic Concepts of Differential and Integral Calculus
Statistical Description of Data
Measures of Central Tendency and Dispersion
Correlation and Regression
Probability and Expected Value by Mathematical Expectation
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