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1. |
Record Nr. |
UNINA9910784060303321 |
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Autore |
Trott Michael |
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Titolo |
The Mathematica GuideBook for Numerics [[electronic resource] /] / by Michael Trott |
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Pubbl/distr/stampa |
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New York, NY : , : Springer New York : , : Imprint : Springer, , 2006 |
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ISBN |
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1-280-65636-0 |
9786610656363 |
0-387-28814-7 |
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Edizione |
[1st ed. 2006.] |
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Descrizione fisica |
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1 online resource (1243 p.) |
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Disciplina |
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Soggetti |
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Computer software |
Application software |
Computer mathematics |
Algorithms |
Mathematical Software |
Computer Applications |
Computational Mathematics and Numerical Analysis |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di contenuto |
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Introduction and Orientation -- I. Numerical Computations: Remarks -- Approximate Numbers -- Fitting and Interpolating Functions -- Compiled Programs -- Linear Algebra -- Fourier Transforms -- Numerical Functions and Their Options -- Sums and Products -- Integration -- Solution of Equations -- Minimization -- Solution of Differential Equations -- Two Applications -- Overview.-Exercises -- References -- II. Computation with Exact Numbers: Remarks -- Divisors and Multiples -- Number Theory Functions -- Combinatorial Functions -- Euler, Bernoulli, and Fibonacci Numbers -- Overview -- Exercises -- References -- Index. |
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Sommario/riassunto |
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Mathematica is today's most advanced technical computing system, featuring a rich programming environment, two-and three-dimensional graphics capabilities and hundreds of sophisticated, powerful |
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programming and mathematical functions using state-of-the-art algorithms. Combined with a user-friendly interface and a complete mathematical typesetting system, Mathematica offers an intuitive, easy-to-handle environment of great power and utility. "The Mathematica GuideBook for Numerics" (text and code fully tailored for Mathematica 5.1) concentrates on Mathematica's numerical mathematics capabilities. The available types of arithmetic (machine, high-precision, and interval) are introduced, discussed, and put to use. Fundamental numerical operations, such as compiling programs, fast Fourier transforms, minimization, numerical solution of equations, ordinary/partial differential equations are analyzed in detail and are applied to a large number of examples in the main text and solutions to the exercises. |
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2. |
Record Nr. |
UNINA9910484325603321 |
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Autore |
Quirk Thomas J. |
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Titolo |
Excel 2019 for Social Science Statistics : A Guide to Solving Practical Problems / / by Thomas J. Quirk |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
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ISBN |
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Edizione |
[2nd ed. 2021.] |
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Descrizione fisica |
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1 online resource (XVII, 246 p. 166 illus., 165 illus. in color.) |
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Collana |
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Excel for Statistics, , 2570-4613 |
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Disciplina |
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Soggetti |
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Social sciences - Statistical methods |
Sociology - Methodology |
Psychology - Methodology |
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy |
Sociological Methods |
Psychological Methods |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Preface -- Acknowledgements -- 1 Sample Size, Mean, Standard Deviation, and Standard Error of the Mean -- 2 Random Number Generator -- 3 Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing -- 4 One-Group t-Test for the Mean -- 5 Two-Group t-Test of the Difference of the Means for Independent Groups -- 6 Correlation and Simple Linear Regression -- 7 Multiple Correlation and Multiple Regression -- 8 One-Way Analysis of Variance (ANOVA) -- Appendix A: Answers to End-of-Chapter Practice Problems -- Appendix B: Practice Test -- Appendix C: Answers to Practice Test -- Appendix D: Statistical Formulas -- Appendix E: t-table -- Index. |
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Sommario/riassunto |
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This book shows the capabilities of Microsoft Excel in teaching social science statistics effectively. Similar to the previously published Excel 2016 for Social Sciences Statistics, this book is a step-by-step, exercise-driven guide for students and practitioners who need to master Excel to solve practical social science problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically inclined, or you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in social science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. Excel 2019 for Social Science Statistics: A Guide to Solving Practical Problems capitalizes on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. In this new edition, each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand social science problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full practice test (with answers in an appendix) that allows readers to test what they have learned. |
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