Disha’s updated 2nd edition of the book ‘Go To Guide for CUET (UG) Physics with 10 Practice Sets & 6 Previous Year Questions’ has been prepared as per the changed pattern of CUET. # The Book is divided into 2 Parts – A: Study Material; B – 10 Practice Mock Tests # Part A covers well explained theory in a ONE-LINER format which is easy to remember. # The complete syllabus is divided into 15 Chapters as per NCERT. # More than 2500+ questions are provided for practice with Hints & Solutions # 2017 - 2021 Previous Paper of past 5 Years of CUCET have been included chapter-wise for better understanding and to know the nature of actual paper. # 4 Sets of CUET 2022 solved papers are also added to the book chapter-wise. # Part B provides 10 Mock Tests on the 2022 pattern of 50 MCQs (40 to be attempted). # Detailed solutions are provided for all the Questions. # The Book is strictly based on the Class 12 syllabus and follows NCERT Books.

Disha’s updated 2nd edition of the book ‘Go To Guide for CUET (UG) General Test with 10 Practice Sets & 6 Previous Year Questions’ has been prepared as per the changed pattern of CUET. # The Book is divided into 2 Parts – A: Study Material; B – 10 Practice Mock Tests # Part A covers well explained theory in a ONE LINER format which is easy to remember. # The complete syllabus is divided into 4 sections which are futher divided into Chapters. # More than 2500+ questions are provided for practice with Hints & Solutions # 2017 - 2021 Previous Paper of past 6 Years of CUCET have been included chapter-wise for better understanding and to know the nature of actual paper. # 3 Sets of CUET 2022 solved papers are also added to the book chapter-wise. # Part B provides 10 Mock Tests on the 2022 pattern of 50 MCQs (40 to be attempted). # Detailed solutions are provided for all the Questions. # The Book is strictly based on the Class 12 syllabus and follows NCERT Books.

A thirty-day vocabulary building program which includes a pronunciation guide and word origins and histories.

This clear, concise and highly readable text is designed for a first course in linear algebra and is intended for undergraduate courses in mathematics. It focusses throughout on geometric explanations to make the student perceive that linear algebra is nothing but analytic geometry of n dimensions. From the very start, linear algebra is presented as an extension of the theory of simultaneous linear equations and their geometric interpretation is shown to be a recurring theme of the subject. The integration of abstract algebraic concepts with the underlying geometric notions is one of the most distinguishing features of this book — designed to help students in the pursuit of multivariable calculus and differential geometry in subsequent courses.Explanations and concepts are logically presented in a conversational tone and well-constructed writing style so that students at a variety of levels can understand the material and acquire a solid foundation in the basic skills of linear algebra.

A well-balanced introduction to probability theory and mathematical statistics Featuring updated material, An Introduction to Probability and Statistics, Third Edition remains a solid overview to probability theory and mathematical statistics. Divided intothree parts, the Third Edition begins by presenting the fundamentals and foundationsof probability. The second part addresses statistical inference, and the remainingchapters focus on special topics. An Introduction to Probability and Statistics, Third Edition includes: A new section on regression analysis to include multiple regression, logistic regression, and Poisson regression A reorganized chapter on large sample theory to emphasize the growing role of asymptotic statistics Additional topical coverage on bootstrapping, estimation procedures, and resampling Discussions on invariance, ancillary statistics, conjugate prior distributions, and invariant confidence intervals Over 550 problems and answers to most problems, as well as 350 worked out examples and 200 remarks Numerous figures to further illustrate examples and proofs throughout An Introduction to Probability and Statistics, Third Edition is an ideal reference and resource for scientists and engineers in the fields of statistics, mathematics, physics, industrial management, and engineering. The book is also an excellent text for upper-undergraduate and graduate-level students majoring in probability and statistics.

This is a short text in linear algebra, intended for a one-term course. In the first chapter, Lang discusses the relation between the geometry and the algebra underlying the subject, and gives concrete examples of the notions which appear later in the book. He then starts with a discussion of linear equations, matrices and Gaussian elimination, and proceeds to discuss vector spaces, linear maps, scalar products, determinants, and eigenvalues. The book contains a large number of exercises, some of the routine computational type, while others are conceptual.