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  • 1
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Springer
    UID:
    b3kat_BV047226651
    Format: 1 Online-Ressource (XIX, 242 p. 166 illus., 161 illus. in color)
    Edition: 2nd ed. 2021
    ISBN: 9783030632380
    Series Statement: Excel for Statistics
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-63237-3
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-63239-7
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Book
    Book
    New York [u.a.] : Acad. Press
    UID:
    gbv_303063238
    Format: XIX, 637 S. , Ill., graph. Darst. , 8°
    Series Statement: Comparative biochemistry : a comprehensive treatise / ed. by Marcel Florkin ... Vol. 5
    Note: Literaturangaben
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    UID:
    almahu_9948674181402882
    Format: XIX, 242 p. 166 illus., 161 illus. in color. , online resource.
    Edition: 2nd ed. 2021.
    ISBN: 9783030632380
    Series Statement: Excel for Statistics,
    Content: This book shows the capabilities of Microsoft Excel in teaching physical science statistics effectively. Similar to the previously published Excel 2016 for Physical Sciences Statistics, this book is a step-by-step, exercise-driven guide for students and practitioners who need to master Excel to solve practical physical science problems. If understanding statistics isn't the reader's strongest suit, the reader is not mathematically inclined, or if the reader is new to computers or to Excel, this is the book to start off with. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in physical science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. Excel 2019 for Physical Sciences 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 physical 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: 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.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9783030632373
    Additional Edition: Printed edition: ISBN 9783030632397
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 4
    UID:
    gbv_175306032X
    Format: 1 Online-Ressource (XIX, 242 Seiten)
    Edition: Second edition
    ISBN: 9783030632380
    Series Statement: Excel for statistics
    Content: This book shows the capabilities of Microsoft Excel in teaching physical science statistics effectively. Similar to the previously published Excel 2016 for Physical Sciences Statistics, this book is a step-by-step, exercise-driven guide for students and practitioners who need to master Excel to solve practical physical science problems. If understanding statistics isn’t the reader’s strongest suit, the reader is not mathematically inclined, or if the reader is new to computers or to Excel, this is the book to start off with. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in physical science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. Excel 2019 for Physical Sciences 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 physical 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: 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.
    Additional Edition: ISBN 9783030632373
    Additional Edition: ISBN 9783030632397
    Additional Edition: Erscheint auch als Druck-Ausgabe Quirk, Thomas J., 1939 - Excel 2019 for physical sciences statistics Cham, Switzerland : Springer, 2021 ISBN 9783030632373
    Additional Edition: ISBN 3030632377
    Language: English
    Keywords: Naturwissenschaften ; Statistik ; Excel 2019
    Library Location Call Number Volume/Issue/Year Availability
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  • 5
    Online Resource
    Online Resource
    Cham :Springer International Publishing, | Cham :Springer.
    UID:
    edoccha_BV047226651
    Format: 1 Online-Ressource (XIX, 242 p. 166 illus., 161 illus. in color).
    Edition: 2nd ed. 2021
    ISBN: 978-3-030-63238-0
    Series Statement: Excel for Statistics
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-63237-3
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-63239-7
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 6
    Online Resource
    Online Resource
    Cham :Springer International Publishing, | Cham :Springer.
    UID:
    edocfu_BV047226651
    Format: 1 Online-Ressource (XIX, 242 p. 166 illus., 161 illus. in color).
    Edition: 2nd ed. 2021
    ISBN: 978-3-030-63238-0
    Series Statement: Excel for Statistics
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-63237-3
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-63239-7
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
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