The Pearson Guide to Objective Physics for Medical Entrance Examinations Volume 1
Author | : Ravi RAj Dudeja |
Publisher | : Pearson Education India |
Total Pages | : 676 |
Release | : 2009 |
Genre | : Elasticity |
ISBN | : 9788131720783 |
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Author | : Ravi RAj Dudeja |
Publisher | : Pearson Education India |
Total Pages | : 676 |
Release | : 2009 |
Genre | : Elasticity |
ISBN | : 9788131720783 |
Author | : |
Publisher | : Pearson Education India |
Total Pages | : 724 |
Release | : 2009 |
Genre | : Elasticity |
ISBN | : 9788131720790 |
Author | : Kumar Abhay |
Publisher | : |
Total Pages | : 0 |
Release | : 2016 |
Genre | : |
ISBN | : 9789332578234 |
Objective Physics for NEET and Other Medical Examination has been written to build a firm foundation of the guiding principles of physics among the medical aspirants. It is mainly designed for NEET but would also be useful for other medical entrance examinations, such as AIIMS, JIPMER and state-level exams.
Author | : |
Publisher | : Pearson Education India |
Total Pages | : 1222 |
Release | : |
Genre | : |
ISBN | : 9788131763582 |
Author | : Dudeja |
Publisher | : Pearson Education India |
Total Pages | : 720 |
Release | : 2008 |
Genre | : |
ISBN | : 9332506310 |
The Pearson Guide to Objective Physics for Medical Entrance Examinations Volume II is a great book to have for various competitive examinations and contains short-cut methods and problem solving tips, original questions from competitive exams, numerous examples and fully solved problems.
Author | : A K Singhal |
Publisher | : Pearson Education India |
Total Pages | : 729 |
Release | : |
Genre | : |
ISBN | : 9353941628 |
Objective NEET (National Eligibility Cum Entrance Test) is a trusted companion for all the NEET aspirants. This series includes Physics, Chemistry, and Biology divided into two volumes as per NCERT curriculum of class 11th and 12th. Written in lucid language, the book aims to provide clarity on all the concepts through meticulously developed practice questions along with previous years' questions and NCERT exemplar section. Each chapter is designed in such a way that student can recapitulate the important topics and practice exercises within a given time period. A separate section on AIIMS entrance examination in all the volumes gives extra mileage to the aspirants. It also lays emphasis on the recent trends in topical coverage and the latest question paper pattern has appeared in the NEET examination. This book would also be useful for other medical entrance examinations like AIIMS, JIPMER, etc.
Author | : DC Pandey |
Publisher | : Arihant Publications India limited |
Total Pages | : 888 |
Release | : 2021-12-05 |
Genre | : |
ISBN | : 9325299380 |
1. Best-selling study guide and well-structured study resource for NEET, AIIMS, JIPMER. 2. NEET Objective Physics Vol 1. – for class 11 3. The book follows the NCERT pattern for MBBS & BDS entrance preparation along with their school studies. 4. Diagrams, tables, figures etc support theory 5. Practice exercises after every chapter 6. Coverage of last 8 Years Questions of NEET, CBSEE AIPMT and Other Medical Entrances. The “NEET Objective Physics Volume – 01” is a complete comprehensive book designed for the medical students preparing for NEET. As the title suggests the volume -1 covers the complete NEET syllabus along with NCERT Textbook of class 11th into 17 Chapters for the simultaneous preparation of both school & exam. Every chapter is well supported by theories, diagrams, tables, figures. Important points and Notes are given in the topics to enrich students. In order to help, Check Point Exercises are given in between the text of all chapters to make students linked with the topic. Solved Examples are given with the different concepts of chapters to make students learn the problem solving skills. Exercises provided in the chapters are divided into 3 parts. Part – A: Taking it Together deals with objective questions arranged according to level of difficulty for the systematic practice. Part – B: Medical Entrance Special Format Questions – covers all special types of questions, generally asked in NEET & other Medical Entrances, Part – C: Medical Entrances’ Gallery – asked questions in Last 10 years’ (2020-2011) in NEET and other medical entrances. TOC Basic Mathematics, Units, Dimensions and Error Analysis, Vectors, Motion in One Dimension, Motion in a Plane and Projectile Motion, Laws of Motion, Work, Power and Energy, Circulation Motion, Rotation, Gravitation, Simple Harmonic Motion, Elasticity, Fluid Mechanics, Thermometry, Thermal Expansion and Kinetic Theory of Gases, Laws of Thermodynamics, Calorimetry and Heat Transfer, Wave Motion.
Author | : Dr. R.K. Gupta |
Publisher | : |
Total Pages | : 1286 |
Release | : |
Genre | : |
ISBN | : 9788178840529 |
The Book Thoroughly The Following: Physical Chemistry With Detailed Concepts And Numerical Problems. Organic Chemistry With More Chemical Equations. Inorganic Chemistry With Theory And Examples. In Addition To A Well Explained Theory The Book Includes Well Categorized Classified And Sub-Classified Questions On The Basis Of Latest Trends Of Examination Papers. Salient Features As Per The Syllabus Of Engineering And Medical Entrance Examinations Previous Years Solved Papers Every Unit Contains (I) Main Highlights; (Ii) Multiple Choice Questions; (Iii) True And False Statements; (Iv)Hints And Solutions.
Author | : Larry Wasserman |
Publisher | : Springer Science & Business Media |
Total Pages | : 446 |
Release | : 2013-12-11 |
Genre | : Mathematics |
ISBN | : 0387217363 |
Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.