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  • Brandenburg  (9)
  • UB Potsdam  (9)
  • SeeCampus-Bibliothek
  • Bibliothek im Kontor
  • Heinrich-Mann-Bibl. Strausberg
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  • 2015-2019  (9)
  • Quirk, Thomas J.  (9)
  • Computer Science  (9)
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  • 1
    UID:
    b3kat_BV043746593
    Format: 1 Online-Ressource (xv, 244 Seiten, 167 illus. in color)
    ISBN: 9783319389592
    Series Statement: Excel for statistics
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-319-38958-5
    Language: English
    Subjects: Computer Science
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    URL: Volltext  (URL des Erstveröffentlichers)
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    URL: Cover
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  • 2
    UID:
    b3kat_BV043831581
    Format: 1 Online-Ressource (XVII, 258 Seiten, 162 illus., 161 illus. in color)
    ISBN: 9783319400662
    Series Statement: Excel for statistics
    Additional Edition: Erscheint auch als Druckausgabe ISBN 978-3-319-40065-5
    Language: English
    Subjects: Computer Science
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    URL: Volltext  (URL des Erstveröffentlichers)
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    URL: Cover
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  • 3
    UID:
    b3kat_BV043831582
    Format: 1 Online-Ressource (XVII, 242 Seiten, 167 illus. in color)
    ISBN: 9783319433769
    Series Statement: Excel for statistics
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-319-43375-2
    Language: English
    Subjects: Computer Science , Economics
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    URL: Volltext  (URL des Erstveröffentlichers)
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    URL: Cover
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  • 4
    UID:
    b3kat_BV043746595
    Format: 1 Online-Ressource (XV, 260 Seiten, 167 illus., 165 illus. in color)
    ISBN: 9783319397115
    Series Statement: Excel for statistics
    Additional Edition: Erscheint auch als Druckausgabe ISBN 978-3-319-39710-8
    Language: English
    Subjects: Computer Science , Sociology
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    Keywords: Excel 2016 ; Statistik ; Sozialwissenschaften ; Lehrmittel
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (lizenzpflichtig)
    URL: Volltext  (lizenzpflichtig)
    URL: Cover
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  • 5
    UID:
    b3kat_BV044979933
    Format: 1 Online-Ressource (XV, 244 Seiten, 169 illus., 162 illus. in color)
    ISBN: 9783319899930
    Series Statement: Excel for statistics
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-319-89992-3
    Language: English
    Subjects: Computer Science
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    URL: Volltext  (URL des Erstveröffentlichers)
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  • 6
    UID:
    gbv_1656313944
    Format: Online-Ressource (XVII, 252 p. 162 illus., 1 illus. in color, online resource)
    Edition: 1st ed. 2016
    ISBN: 9783319289823
    Series Statement: Excel for Statistics
    Content: This book shows how Microsoft Excel is able to teach human resource management statistics effectively. Similar to the previously published Excel 2010 for Human Resource Management Statistics, it is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical human resource management 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 human resource management courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2013 for Human Resource Management 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 human resource management problems. Practice problems are provided at the end of each chapter with their solutions in an Appendix. Includes 162 illustrations in color Suitable for undergraduate and graduate students At the beginning of his academic career, Prof. Tom J. Quirk spent six years in educational research at The American Institutes for Research and Educational Testing Service. He then taught Social Psychology, Educational Psychology, General Psychology, Marketing, Management, and Accounting at Principia College, and is currently a Professor of Marketing in the George Herbert Walker School of Business & Technology at Webster University based in St. Louis, Missouri (USA) where he teaches Marketing Statistics, Marketing Research, and Pricing Strategies. He has written 60+ textbook supplements in Marketing and Management, published 20+ articles in professional journals, and presented 20+ papers at professional meetings. He holds a B.S. in Mathematics from John Carroll University, both an M.A. in Education and a Ph.D. in Educational Psychology from Stanford University, and an M.B.A. from The University of Missouri-St. Louis. Prof. “J.P.” Palmer-Schuyler is currently an Associate Professor of Human Resource Management in the Walker School of Business and Technology at Webster University in St. Louis, Missouri, USA, where she teaches undergraduate Human Resource Management as well as Organizational Behavior at the Master’s and Doctoral level. She received her MBA from the University of Nebraska-Lincoln and her Ph.D. from the University of Missouri-Columbia in Management. Her teaching awards include the Donald K. Anderson Graduate Student Teaching Award at the University of Missouri and the William T. Kemper Award at Webster University. She is also a graduate of the Program for Excellence in Teaching at the University of Missouri. Her pedagogical research over the past 12 years includes articles in Academy of Business Disciplines Journal and Regional Business Review, and she has made conference presentations at the Organizational Behavior Teaching Conference, Academy of Management, Society for Industrial and Organizational Psychology, Southwest Academy of Management, Western Academy of Management, and Society for Advancement of Management.
    Additional Edition: ISBN 9783319289816
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-319-28981-6
    Language: English
    Subjects: Computer Science
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    URL: Volltext  (lizenzpflichtig)
    URL: Volltext  (lizenzpflichtig)
    URL: Cover
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  • 7
    UID:
    gbv_1656313855
    Format: Online-Ressource (XVII, 252 p. 163 illus., 162 illus. in color, online resource)
    Edition: 1st ed. 2016
    ISBN: 9783319289854
    Series Statement: Excel for Statistics
    Content: 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. .
    Content: This book shows the capabilities of Microsoft Excel to teach health services management statistics effectively. Similar to the previously published Excel 2010 for Health Services Management Statistics, this book is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical health services management 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 health services management courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2013 for Health Services Management 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 health services management 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 163 illustrations in color n Suitable for undergraduate and graduate students At the beginning of his academic career, Prof. Quirk spent six years in educational research at The American Institutes for Research and Educational Testing Service. He is currently a Professor of Marketing in the Walker School of Business & Technology at Webster University based in St. Louis, Missouri (USA). He holds a B.S. in Mathematics from John Carroll University, both an M.A. in Education and a Ph.D. in Educational Psychology from Stanford University, and an MBA from The University of Missouri-St. Louis. Prof. Cummings has worked for several hospitals in St. Louis, Missouri, and Washington, D.C. She is currently an Associate Professor of Healthcare Management in the Walker School of Business & Technology at Webster University in St. Louis, Missouri (USA) where she teaches Statistics for Healthcare Management and Healthcare Finance. She holds a B.S.B.A. from Washington University in St. Louis, an M.H.A. from the Washington University School of Medicine, and a Ph.D. in Health Policy and Administration from the University of North Carolina Chapel Hill. .
    Additional Edition: ISBN 9783319289847
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-319-28984-7
    Language: English
    Subjects: Computer Science
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    URL: Volltext  (lizenzpflichtig)
    URL: Volltext  (lizenzpflichtig)
    URL: Cover
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  • 8
    UID:
    gbv_1654099058
    Format: Online-Ressource (XVII, 252 p. 165 illus., 2 illus. in color, online resource)
    Edition: 1st ed. 2015
    ISBN: 9783319239774
    Series Statement: Excel for Statistics
    Content: 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)
    Content: This is the first book to show the capabilities of Microsoft Excel to teach environmentall sciences statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical environmental 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 environmental science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2013 for Environmental 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 environmental 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.
    Note: Sample Size, Mean, Standard Deviation, and Standard Error of the MeanRandom 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).
    Additional Edition: ISBN 9783319239750
    Additional Edition: Erscheint auch als Druck-Ausgabe Quirk, Thomas J., 1939 - Excel 2013 for environmental sciences statistics Cham : Springer, 2015 ISBN 9783319239750
    Language: English
    Subjects: Computer Science , Geography
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    Keywords: Statistik
    URL: Volltext  (lizenzpflichtig)
    URL: Cover
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  • 9
    UID:
    gbv_1658670132
    Format: Online-Ressource (XVII, 252 p. 165 illus., 162 illus. in color, online resource)
    ISBN: 9783319400570
    Series Statement: Excel for Statistics
    Content: Introduction -- Sample size, mean, standard deviation, 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 -- Appendix B -- Appendix C -- Appendix D -- Appendix E -- Index.
    Content: This book is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical environmental 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 is an effective learning tool for quantitative analyses in environmental science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2016 for Environmental 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 2016 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 environmental 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 165 illustrations in color Suitable for undergraduates or graduate students Prof. Tom Quirk spent six years in educational research at The American Institutes for Research and Educational Testing Service. He is Professor of Marketing in the Walker School of Business & Technology at Webster University in St. Louis, Missouri (USA). He holds a B.S. in Mathematics from John Carroll University, both an M.A. in Education and a Ph.D. in Educational Psychology from Stanford University, and an MBA from The University of Missouri-St. Louis. Dr. Meghan Quirk holds a Ph.D. in Biological Education and an M.A. in Biological Sciences from the University of Northern Colorado (UNC) and a B.A. in Biology and Religion at Principia College in Elsah, Illinois. She has co-authored an article on shortgrass steppe ecosystems in Photochemistry & Photobiology. She was a National Science Foundation Fellow GK-12, and currently teaches science in Bailey, Colorado. Howard F. Horton holds an MS in Biological Sciences from the University of Northern Colorado (UNC) and a BS in Biological Sciences from Mesa State College. He has worked on research projects in Pawnee National Grasslands and Long-Term Ecological Research at Toolik Lake, Alaska. He has co-authored articles in The International Journal of Speleology and The Journal of Cave and Karst Studies. He was a National Science Foundation Fellow GK-12. He is currently the Angler Outreach Coordinator with Colorado Parks and Wildlife.
    Additional Edition: ISBN 9783319400563
    Additional Edition: Erscheint auch als Druck-Ausgabe Quirk, Thomas J., 1939 - Excel 2016 for Environmental Sciences Statistics [Cham] : Springer, 2016 ISBN 9783319400563
    Additional Edition: ISBN 3319400568
    Language: English
    Subjects: Computer Science , Geography
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    Keywords: Excel 2016 ; Umweltwissenschaften ; Excel 2016 ; Umweltwissenschaften
    URL: Volltext  (lizenzpflichtig)
    URL: Volltext  (lizenzpflichtig)
    URL: Cover
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