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Autor Thomas J. Quirk |
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Título : Excel 2007 for Biological and Life Sciences Statistics : A Guide to Solving Practical Problems Tipo de documento: documento electrónico Autores: Thomas J. Quirk ; SpringerLink (Online service) ; Meghan Quirk ; Howard Horton Editorial: New York, NY : Springer New York Fecha de publicación: 2013 Otro editor: Imprint: Springer Número de páginas: XVII, 232 p. 162 illus., 146 illus. in color Il.: online resource ISBN/ISSN/DL: 978-1-4614-6003-9 Idioma : Inglés (eng) Palabras clave: Statistics for Life Sciences, Medicine, Health Sciences and Computing/Statistics Programs Statistics, general Clasificación: 51 Matemáticas Resumen: This is the first book to show the capabilities of Microsoft Excel to teach biological and life sciences statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical science problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if 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 science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2007 for Biological and Life Sciences Statistics: A Guide to Solving Practical Problems is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand 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. n Includes 162 illustrations in color n Suitable for undergraduates or graduate students Nota de contenido: Sample Size, Mean, Standard Deviation, and Standard Error of the Mean -- Random Number Generator -- Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing -- One-Group t-Test for the Mean -- Two-Group t-Test of the Difference of the Means for Independent Groups -- Correlation and Simple Linear Regression -- Multiple Correlation and Multiple Regression -- 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 En línea: http://dx.doi.org/10.1007/978-1-4614-6003-9 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32283 Excel 2007 for Biological and Life Sciences Statistics : A Guide to Solving Practical Problems [documento electrónico] / Thomas J. Quirk ; SpringerLink (Online service) ; Meghan Quirk ; Howard Horton . - New York, NY : Springer New York : Imprint: Springer, 2013 . - XVII, 232 p. 162 illus., 146 illus. in color : online resource.
ISBN : 978-1-4614-6003-9
Idioma : Inglés (eng)
Palabras clave: Statistics for Life Sciences, Medicine, Health Sciences and Computing/Statistics Programs Statistics, general Clasificación: 51 Matemáticas Resumen: This is the first book to show the capabilities of Microsoft Excel to teach biological and life sciences statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical science problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if 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 science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2007 for Biological and Life Sciences Statistics: A Guide to Solving Practical Problems is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand 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. n Includes 162 illustrations in color n Suitable for undergraduates or graduate students Nota de contenido: Sample Size, Mean, Standard Deviation, and Standard Error of the Mean -- Random Number Generator -- Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing -- One-Group t-Test for the Mean -- Two-Group t-Test of the Difference of the Means for Independent Groups -- Correlation and Simple Linear Regression -- Multiple Correlation and Multiple Regression -- 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 En línea: http://dx.doi.org/10.1007/978-1-4614-6003-9 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32283 Ejemplares
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Título : Excel 2007 for Business Statistics : A Guide to Solving Practical Business Problems Tipo de documento: documento electrónico Autores: Thomas J. Quirk ; SpringerLink (Online service) Editorial: New York, NY : Springer New York Fecha de publicación: 2012 Otro editor: Imprint: Springer Número de páginas: XV, 244 p. 165 illus. in color Il.: online resource ISBN/ISSN/DL: 978-1-4614-3734-5 Idioma : Inglés (eng) Palabras clave: Statistics for Business/Economics/Mathematical Finance/Insurance and Computing/Statistics Programs Statistics, general Clasificación: 51 Matemáticas Resumen: This is the first book to show the capabilities of Microsoft Excel to teach business statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical business problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if 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 business courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2007 for Business Statistics: A Guide to Solving Practical Business Problems is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand business 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. Includes 165 illustrations in color Nota de contenido: Sample Size, Mean, Standard Deviation, and Standard Error of the Mean -- Random Number Generator -- Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing -- One-Group t-Test for the Mean -- Two-Group t-Test of the Difference of the Means for Independent Groups -- Correlation and Simple Linear Regression -- Multiple Correlation and Multiple Regression -- 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 En línea: http://dx.doi.org/10.1007/978-1-4614-3734-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32816 Excel 2007 for Business Statistics : A Guide to Solving Practical Business Problems [documento electrónico] / Thomas J. Quirk ; SpringerLink (Online service) . - New York, NY : Springer New York : Imprint: Springer, 2012 . - XV, 244 p. 165 illus. in color : online resource.
ISBN : 978-1-4614-3734-5
Idioma : Inglés (eng)
Palabras clave: Statistics for Business/Economics/Mathematical Finance/Insurance and Computing/Statistics Programs Statistics, general Clasificación: 51 Matemáticas Resumen: This is the first book to show the capabilities of Microsoft Excel to teach business statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical business problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if 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 business courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2007 for Business Statistics: A Guide to Solving Practical Business Problems is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand business 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. Includes 165 illustrations in color Nota de contenido: Sample Size, Mean, Standard Deviation, and Standard Error of the Mean -- Random Number Generator -- Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing -- One-Group t-Test for the Mean -- Two-Group t-Test of the Difference of the Means for Independent Groups -- Correlation and Simple Linear Regression -- Multiple Correlation and Multiple Regression -- 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 En línea: http://dx.doi.org/10.1007/978-1-4614-3734-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32816 Ejemplares
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Título : Excel 2007 for Educational and Psychological Statistics : A Guide to Solving Practical Problems Tipo de documento: documento electrónico Autores: Thomas J. Quirk ; SpringerLink (Online service) Editorial: New York, NY : Springer New York Fecha de publicación: 2012 Otro editor: Imprint: Springer Número de páginas: XV, 238 p. 163 illus., 154 illus. in color Il.: online resource ISBN/ISSN/DL: 978-1-4614-3725-3 Idioma : Inglés (eng) Palabras clave: Statistics for Social Science, Behavorial Education, Public Policy, and Law Computing/Statistics Programs Statistics, general Clasificación: 51 Matemáticas Resumen: This is the first book to show the capabilities of Microsoft Excel to teach educational and psychological statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical problems using statistics. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and practitioners, is also an effective teaching and learning tool for quantitative analyses in courses in education and psychology. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2007 for Educational and Psychological Statistics: A Guide to Solving Practical Problems is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand statistics 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. Includes 163 illustrations in color Nota de contenido: Sample Size, Mean, Standard Deviation, and Standard Error of the Mean -- Random Number Generator -- Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing -- One-Group t-Test for the Mean -- Two-Group t-Test of the Difference of the Means for Independent Groups -- Correlation and Simple Linear Regression -- Multiple Correlation and Multiple Regression -- 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 En línea: http://dx.doi.org/10.1007/978-1-4614-3725-3 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32815 Excel 2007 for Educational and Psychological Statistics : A Guide to Solving Practical Problems [documento electrónico] / Thomas J. Quirk ; SpringerLink (Online service) . - New York, NY : Springer New York : Imprint: Springer, 2012 . - XV, 238 p. 163 illus., 154 illus. in color : online resource.
ISBN : 978-1-4614-3725-3
Idioma : Inglés (eng)
Palabras clave: Statistics for Social Science, Behavorial Education, Public Policy, and Law Computing/Statistics Programs Statistics, general Clasificación: 51 Matemáticas Resumen: This is the first book to show the capabilities of Microsoft Excel to teach educational and psychological statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical problems using statistics. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and practitioners, is also an effective teaching and learning tool for quantitative analyses in courses in education and psychology. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2007 for Educational and Psychological Statistics: A Guide to Solving Practical Problems is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand statistics 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. Includes 163 illustrations in color Nota de contenido: Sample Size, Mean, Standard Deviation, and Standard Error of the Mean -- Random Number Generator -- Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing -- One-Group t-Test for the Mean -- Two-Group t-Test of the Difference of the Means for Independent Groups -- Correlation and Simple Linear Regression -- Multiple Correlation and Multiple Regression -- 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 En línea: http://dx.doi.org/10.1007/978-1-4614-3725-3 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32815 Ejemplares
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Título : Excel 2007 for Social Science Statistics : A Guide to Solving Practical Problems Tipo de documento: documento electrónico Autores: Thomas J. Quirk ; SpringerLink (Online service) Editorial: New York, NY : Springer New York Fecha de publicación: 2012 Otro editor: Imprint: Springer Número de páginas: XV, 249 p. 164 illus. in color Il.: online resource ISBN/ISSN/DL: 978-1-4614-3622-5 Idioma : Inglés (eng) Palabras clave: Statistics Statistics, general for Social Science, Behavorial Education, Public Policy, and Law Computing/Statistics Programs Clasificación: 51 Matemáticas Resumen: This is the first book to show the capabilities of Microsoft Excel to teach social science statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if 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. However, Excel 2007 for Social Science Statistics: A Guide to Solving Practical Problems is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand 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. Nota de contenido: Sample Size, Mean, Standard Deviation, and Standard Error of the Mean -- Random Number Generator -- Confidence Interval About the Mean Using the TINV -- One-Group t-Test for the Mean -- Two-Group t-Test of the Difference of the Means for Independent Groups -- Correlation and Simple Linear Regression -- Multiple Correlation and Multiple Regression -- One-Way Analysis of Variance (ANOVA) -- References -- Appendices -- Index En línea: http://dx.doi.org/10.1007/978-1-4614-3622-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32807 Excel 2007 for Social Science Statistics : A Guide to Solving Practical Problems [documento electrónico] / Thomas J. Quirk ; SpringerLink (Online service) . - New York, NY : Springer New York : Imprint: Springer, 2012 . - XV, 249 p. 164 illus. in color : online resource.
ISBN : 978-1-4614-3622-5
Idioma : Inglés (eng)
Palabras clave: Statistics Statistics, general for Social Science, Behavorial Education, Public Policy, and Law Computing/Statistics Programs Clasificación: 51 Matemáticas Resumen: This is the first book to show the capabilities of Microsoft Excel to teach social science statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if 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. However, Excel 2007 for Social Science Statistics: A Guide to Solving Practical Problems is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand 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. Nota de contenido: Sample Size, Mean, Standard Deviation, and Standard Error of the Mean -- Random Number Generator -- Confidence Interval About the Mean Using the TINV -- One-Group t-Test for the Mean -- Two-Group t-Test of the Difference of the Means for Independent Groups -- Correlation and Simple Linear Regression -- Multiple Correlation and Multiple Regression -- One-Way Analysis of Variance (ANOVA) -- References -- Appendices -- Index En línea: http://dx.doi.org/10.1007/978-1-4614-3622-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32807 Ejemplares
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Título : Excel 2010 for Biological and Life Sciences Statistics : A Guide to Solving Practical Problems Tipo de documento: documento electrónico Autores: Thomas J. Quirk ; SpringerLink (Online service) ; Meghan Quirk ; Howard Horton Editorial: New York, NY : Springer New York Fecha de publicación: 2013 Otro editor: Imprint: Springer Número de páginas: XVII, 236 p. 162 illus., 160 illus. in color Il.: online resource ISBN/ISSN/DL: 978-1-4614-5779-4 Idioma : Inglés (eng) Palabras clave: Statistics for Life Sciences, Medicine, Health Sciences and Computing/Statistics Programs Statistics, general Clasificación: 51 Matemáticas Resumen: This is the first book to show the capabilities of Microsoft Excel to teach biological and life sciences statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical science problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if 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 science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2010 for Biological and Life Sciences Statistics: A Guide to Solving Practical Problems is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand 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. Includes 162 illustrations in color Suitable for undergraduates or graduate students En línea: http://dx.doi.org/10.1007/978-1-4614-5779-4 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32269 Excel 2010 for Biological and Life Sciences Statistics : A Guide to Solving Practical Problems [documento electrónico] / Thomas J. Quirk ; SpringerLink (Online service) ; Meghan Quirk ; Howard Horton . - New York, NY : Springer New York : Imprint: Springer, 2013 . - XVII, 236 p. 162 illus., 160 illus. in color : online resource.
ISBN : 978-1-4614-5779-4
Idioma : Inglés (eng)
Palabras clave: Statistics for Life Sciences, Medicine, Health Sciences and Computing/Statistics Programs Statistics, general Clasificación: 51 Matemáticas Resumen: This is the first book to show the capabilities of Microsoft Excel to teach biological and life sciences statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical science problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if 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 science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2010 for Biological and Life Sciences Statistics: A Guide to Solving Practical Problems is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand 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. Includes 162 illustrations in color Suitable for undergraduates or graduate students En línea: http://dx.doi.org/10.1007/978-1-4614-5779-4 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32269 Ejemplares
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