Focusing on practical applications, this textbook serves as a comprehensive guide for high school and undergraduate students learning applied statistics through Excel. It covers statistical problems across various fields, including business, education, psychology, marketing, engineering, and advertising. The approach emphasizes hands-on learning, enabling students to perform essential statistical tests in Excel while simplifying complex theories, making it accessible for beginners.
Focusing on the effective use of Microsoft Excel, this book demonstrates how to teach social science statistics in a clear and accessible manner. It builds on previous works, providing practical examples and applications that enhance understanding of statistical concepts. The integration of Excel tools allows readers to engage with data analysis, making complex statistical methods more manageable for learners in the social sciences.
Focusing on Microsoft Excel 2019, this revised edition highlights Excel's powerful features for teaching engineering statistics. It offers practical examples and applications that enhance learning, making complex statistical concepts more accessible. The book serves as a comprehensive guide, integrating software functionality with statistical theory to benefit both students and educators in engineering disciplines.
Focusing on Microsoft Excel 2019, this revised edition effectively demonstrates how to utilize Excel for teaching educational and psychological statistics. It offers practical examples and clear explanations, making complex statistical concepts accessible to students and educators alike. The book emphasizes hands-on learning, equipping readers with the tools to apply statistical methods in real-world scenarios, enhancing their understanding and application of the subject matter.
Focusing on the practical application of Microsoft Excel in business statistics, this newly revised volume offers demonstrations tailored for Excel 2019. It builds on previous editions while enhancing clarity and usability, making it an essential resource for students and professionals alike. Users will gain insights into statistical analysis techniques and how to effectively utilize Excel's features to manage and interpret data in a business context.
Designed for high school and college students, this textbook offers a practical approach to applied statistics using Excel. It focuses on real-world problems from fields such as business, education, psychology, marketing, engineering, and advertising. Students will gain hands-on experience in performing essential statistical tests, emphasizing application over complex theory, making it accessible for those new to statistics.
Focusing on practical applications, this guide demonstrates how to effectively use Microsoft Excel for educational and psychological statistics. It offers a step-by-step, exercise-driven approach tailored for students and practitioners who may struggle with mathematics or computer usage. The book aims to build confidence and competence in statistical analysis, making it accessible to those who find traditional statistics challenging.
This book shows the capabilities of Microsoft Excel in teaching physical science statistics effectively. Similar to the previously published Excel 2013 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. However, Excel 2016 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. 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.
This book shows how Microsoft Excel is able to teach health services management statistics effectively. Similar to the previously published Excel 2010 for Health Services Management Statistics , it 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. Excel 2010 for Health Services Management 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. 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.
This book shows the 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 2013 for Physical 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.
