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Text Book For Ca, Icwa And Cs (Foundation And Professional Education Course 1) # Ms 8 And Ms 95 Courses Of Ignou # Bca, Mca, Mba # B.Com, M.Com, Business Mathematics And Statistics For Ca, Icwa And Cs (Foundation And Pe Course 1) Spread Over In More Than Fourty Chapter And Four-Figure Pages In The Twin Sections, The Textbook Encompasses Tailormade Topics Of The Three Professional Bodies - Ca, Icwa And Cs. Content Highlights : - Preface - Mathematics # Averages # Percentage, Mixtures, Ratio & Proportion And Variation # Mathematics Of Finance # Indices And Surds # Number System # Theory Of Equations # Logarithms # Elements Of Set Theory # Truth Table & Its Applicartions To Statements # Determinants # Linear Quadratic, Exponential & Logarithmic Functions : Concept Of Breakeven Point # Progression # Permutations And Combinations # Matrics # Graph Of Inequalities, Linear Programming Techniques - Basics # Vector Algebra # Functions, Limits And Continuity # Differentiation # Successive Differentiation # Application Of Differential Coefficients # Maxima And Minima # Integration : Rules Of Integration # Definite Integrals # Application Of Integral Calculas # Plane Analytical Geometry (Co-Ordinate Geometry) # MensurationStatistics : # Quantative Techniques : Meaning, Scope And Limitations Of Statistics, Collection And Presentation Of Statistical Data # Measure Of Central Tendency # Measures Of Dispersion, Skewness And Kurtosis # Correlation Analysis # Regression Analysis # Probability And Expected Value # Binomial Distribution # Poission Distribution # Normal Distribution # Theory Of Sampling And Test Of Hypothesis # Chi-Square Test # Fisher'S Transformation, F-Test And Analysis Of Variance # Time Series Analysis And Forecasting # Index Numbers # Model Test Paper # Appendices.
Mathematical Statistics for Economics and Business, Second Edition, provides a comprehensive introduction to the principles of mathematical statistics which underpin statistical analyses in the fields of economics, business, and econometrics. The selection of topics in this textbook is designed to provide students with a conceptual foundation that will facilitate a substantial understanding of statistical applications in these subjects. This new edition has been updated throughout and now also includes a downloadable Student Answer Manual containing detailed solutions to half of the over 300 end-of-chapter problems. After introducing the concepts of probability, random variables, and probability density functions, the author develops the key concepts of mathematical statistics, most notably: expectation, sampling, asymptotics, and the main families of distributions. The latter half of the book is then devoted to the theories of estimation and hypothesis testing with associated examples and problems that indicate their wide applicability in economics and business. Features of the new edition include: a reorganization of topic flow and presentation to facilitate reading and understanding; inclusion of additional topics of relevance to statistics and econometric applications; a more streamlined and simple-to-understand notation for multiple integration and multiple summation over general sets or vector arguments; updated examples; new end-of-chapter problems; a solution manual for students; a comprehensive answer manual for instructors; and a theorem and definition map. This book has evolved from numerous graduate courses in mathematical statistics and econometrics taught by the author, and will be ideal for students beginning graduate study as well as for advanced undergraduates.
BUSINESS MATHEMATICS 1. Arithmetic Progression, 2. Geometric Progression, 3. Harmonic Progression, 4. Simple Interest, 5. Compound Interest, 6. Profit and Loss, 7. Percentage, 8. Stock and Shares, 9. Discount, 10. Present Value, 11. Ratio and Proportion, STATISTICS 1. Statistics : Meaning, Nature and Limitations, 2. Statistics : Scope and Importance, 3. Statistical Investigation, 4. Types and Collection of Data, 5. Questionnaire and Schedule, 6. Sample Survey, 7. Editing of Collected Data, 8. Classification and Tabulation of Data, 9. Diagrammatic Presentation of Data, 10. Graphic Presentation of Data, 11. Construction of Frequency Distribution, 12. Measures of Central Tendency, 13. Geometric Mean and Harmonic Mean, 14. Partition Values, 15. Measures of Dispersion, 16. Measures of Skewness, 17. Moments, 18. Measures of Kurtosis, 19. Correlation, 20.Index Number. Appendix (Log-Antilog Table).
For one-semester courses in business statistics. This text offers a streamlined presentation of Business Statistics, Third Edition, by Sharpe, De Veaux, and Velleman . Better Decisions. Better Results. Business Statistics: A First Course, Third Edition , by Sharpe, De Veaux, and Velleman, narrows the gap between theory and practice—relevant statistical methods empower business students to make effective, data-informed decisions. With their unique blend of teaching, consulting, and entrepreneurial experiences, this dynamic author team brings a modern edge to teaching statistics to business students. Focusing on statistics in the context of real business issues–with an emphasis on analysis and understanding over computation–the text helps students think analytically, prepares them to make better business decisions, and shows them how to effectively communicate results. Note: You are purchasing a standalone product; MyMathLab does not come packaged with this content. Students, if interested in purchasing this title with MyMathLab, ask your instructor for the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information. If you would like to purchase boththe physical text and MyMathLab, search for: 0134462726 / 9780134462721 Business Statistics: A First Course Plus NEW MyStatLab with Pearson eText -- Access Card Package Package consists of: 0134182448 / 9780134182445 Business Statistics: A First Course 032192147X / 9780321921475 MyStatLab for Business Statistics -- Glue-In Access Card 0321929713 / 9780321929716 MyStatLab for Business Statistics Sticker
Revised edition of the authors' Business statistics, [2015]
Computational analysis of natural science experiments often confronts noisy data due to natural variability in environment or measurement. Drawing conclusions in the face of such noise entails a statistical analysis. Parametric statistical methods assume that the data is a sample from a population that can be characterized by a specific distribution (e.g., a normal distribution). When the assumption is true, parametric approaches can lead to high confidence predictions. However, in many cases particular distribution assumptions do not hold. In that case, assuming a distribution may yield false conclusions. The companion book Statistics is Easy! gave a (nearly) equation-free introduction to nonparametric (i.e., no distribution assumption) statistical methods. The present book applies data preparation, machine learning, and nonparametric statistics to three quite different life science datasets. We provide the code as applied to each dataset in both R and Python 3. We also include exercises for self-study or classroom use.
This edition of Business Statistics is designed specifically for beginning statistics students who require a book on statistics that will explain everything, without leaving out any of the steps in the process. It summarises what students need to know shows how to select the correct technique to solve a problem ' but it doesn't take an overly mathematical approach. Designed to cover a twelve week semester, this text can be used for first year undergraduate students, for those studying at a technical college, or as part of a bridging unit for those wishing to enter university. This updated 2nd edition of Business Statistics features a Solutions Manual and Solution Slides for the instructor. This customised eBook has been created with the content you need for your studies. Due to the process used to produce this customised eBook, it doesn't offer the same functionality available in other Cengage eBooks, including read aloud and copy text.
This textbook covers the complete syllabus in the Business Mathematics & Business Statistics paper of B.Com. 2nd-year students. The Book has been designed strictly according to the latest updated syllabus prescribed by the University of Delhi. Besides revising and simplifying the text, a number of illustrations and examples are added to explain various concepts introduced in the text. Also, new problems mostly from recent university examinations have been added in this edition. At the same time, old stereotype problems have been removed. In fact, the whole book has been rewritten and given a new look altogether. Salient Features 1. The Book covers the complete syllabus in Business Mathematics & Business Statistics paper of B.Com. examination. 2. There are detailed self-contained chapters on all the syllabus elements. 3. Part I of the book starts with the introduction to Statistics and discusses measures of central tendency and of variation, correlation & regression analysis, index numbers, time series, and interpretation of data. 4. Part II of the book begins by introducing the concept of matrices and determinants. Their applications to business and economic problems are discussed in the chapter. 5. The Concept of differentiation & integration along with their applications are given in chapters 3 & 4 of part II. 6. The language used in the text is simple and the subject matter has been presented in a lucid and straightforward style. 7. Special care has been taken to develop the concepts in an easy-to-understand manner and are self-explanatory.