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Mathematical Reasoning and Aptitude eBook, PDF Notes & Study Material

In this eBook or book of Mathematical Reasoning Aptitude for NTA UGC NET Paper 1, we have covered the complete syllabus MCQs for NET Exam. You can read the book Online on our android App. 

Authored by Dr. Gaurav Jangra

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In this Mathematical Reasoning Aptitude eBook, PDF Notes & Study Material for NTA UGC NET Paper 1, we have covered the complete syllabus MCQs for NET Exam. You can read the book Online on our android App.

Following Contents are included in this book of Mathematical Reasoning Aptitude Notes – UGC NET Paper 1 :

  • Types of reasoning.
  • Number series, Letter series, Codes, and Relationships
  • Mathematical Aptitude (Fraction, Time & Distance, Ratio, Proportion and Percentage, Profit and  Loss, Interest and Discounting, Averages, etc.).
  • MCQs

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MATHEMATICAL REASONING AND APTITUDE PDF NOTES AND STUDY MATERIAL – UGC NET Paper 1

Mathematical reasoning and aptitude pdf notes and study materialare essential topics for the UGC NET Paper 1. These topics involve the ability to understand mathematical concepts and apply mathematical skills to solve problems. Here are some important topics related to mathematical reasoning and aptitude that can be helpful for candidates preparing for the UGC NET Paper 1:

  1. Number systems and arithmetic: Candidates should have a good understanding of number systems and arithmetic, including integers, fractions, decimals, and percentages, and how to perform arithmetic operations on these numbers.
  2. Algebra: Candidates should have knowledge of algebraic concepts, such as polynomials, equations, and inequalities, and how to solve them using various algebraic techniques.
  3. Geometry: Candidates should be familiar with basic geometry concepts, such as lines, angles, triangles, circles, and polygons, and their properties.
  4. Trigonometry: Candidates should have an understanding of trigonometric functions, such as sine, cosine, and tangent, and their applications in solving problems.
  5. Probability and statistics: Candidates should be familiar with the basic concepts of probability and statistics, including probability distributions, measures of central tendency and dispersion, and hypothesis testing.

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