Basics of undergraduate mathematics and statistics

By:

Anindya Bhukta

Contributor(s):

Biswas, Debaprasanna

Material type: Text

TextLanguage: English Publication details: Mumbai Himalaya Publishing House 2013Description: 471 p. PB 24x18 cmISBN:

9789350978917

Subject(s):

DDC classification:

519.5 BHUB

Summary: In this book, special attention is imposed on developing the reasoning capability for dealing mathematical tools. In spite of various positive aspects of learning computer, mere acquiring the technique of computation fails to develop an analytical mind which mathematics can serve. While giving logical explanation to each concept, ample examples have been incorporated. Moreover, at the end of each chapter good numbers of sums have been worked out for the students who are weak in mathematics. Although this book is primarily meant for undergraduate students, a special thrust is emphasized for the students in commerce stream.

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Holdings
Item type	Current library	Collection	Call number	Status	Barcode
Book	St Aloysius Library	Statistics	519.5 BHUB (Browse shelf(Opens below))	Available	077126

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In this book, special attention is imposed on developing the reasoning capability for dealing mathematical tools. In spite of various positive aspects of learning computer, mere acquiring the technique of computation fails to develop an analytical mind which mathematics can serve. While giving logical explanation to each concept, ample examples have been incorporated. Moreover, at the end of each chapter good numbers of sums have been worked out for the students who are weak in mathematics. Although this book is primarily meant for undergraduate students, a special thrust is emphasized for the students in commerce stream.

. CONTENTS PART - I 1. Basic Concepts 2. Theory of Sets 3. Functions 4. Limit 5. Derivative of a Function 6. Maxima and minima of Function 7. Functions of Several Variables 8. Maxima and Minnima : Case of Several Variables 9. Integration PART - II 1. Introduction 2. Collection of Data 3. Classification and Tabulation 4. Diagrammatic Representation 5. Measures of Central Tendency 6. Dispersion 7. Moments, Skewness, Kurtosis 8. Correlation and Regression 9. Index Number 10. Time Series 11. Probability Theory 12. Sampling Theory

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