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CCH Padhuka CA CPT Practical Guide On Quantitative Aptitude December 2018

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Padhuka’ s Practical Guide On Quantitative Aptitude CA CPT by G Sekar

Quantitative Aptitude subject in ICAl Common Proficiency Test covers a specified set of topics from Mathematics and Statistics. The student is expected to gain control in handling mathematical concepts, formulae and making calculations as required for each topic:

In the CPT Examination, the student is required to give answers to questions which are on Multiple Choices I Objective Type basis. Hence, the focus of learning is –

(a) Know and remember the principles, concepts, formulae and procedures in Mathematics and Statistics,

(b) read the question quickly in the exam and comprehend the same,

(c) Make calculations as required, and

(d) Arrive at the correct choice as the answer.

The key issue is to handle the exam questions in a rapid, efficient and effective manner. It is to be noted that Students are required to obtain a minimum of 30% of the Marks (i .e. 15 Marks out of 50) in the Quantitative Aptitude Section. Hence, all topics I subjects should be given equal importance.

This book has been prepared with a view to communicate the formulae, principles, concepts and procedures in Mathematics and Statistics, and to help the student meet the examination requirements

Special features of this book include

  • Full coverage of Examination Syllabus.
  • A Lucid presentation of all relevant concepts, with Supportive Derivations, Graphs and Diagrams wherever required.
  • About 400 Illustrations, illustrating the working procedures for various problem types.
  • About 3700 Objective Type Questions and Answers, to help the student test his knowledge in the various segments, in examination simulated conditions.
  • “Additional Questions” which is a mixture of the various question types has been provided at the end of the Chapter. The same may be attempted by the students as a revision, after attempting the MCQ segment.

Contents

  1. Ratio, Proportion, Indices and Logarithms
  2. Equations
  3. Inequalities
  4. Simple Interest, Compound Interest and Annuity
  5. Permutations and Combinations
  6. Sequence and Series
  7. Sets, Functions and Relations
  8. Limits and Continuity
  9. Differentials and Integral Calculus
  10. Statistical Descriptions of Data
  11. Measures of Central Tendency and Dispersion
  12. Correlations and Regression
  13. Probabilities
  14. Theoretical Distributions
  15. Sampling Theories
  16. Index Numbers
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