Ebook: Excel 2010 for Physical Sciences Statistics: A Guide to Solving Practical Problems
- Genre: Computers // Software: Office software
- Tags: Statistics for Engineering Physics Computer Science Chemistry and Earth Sciences, Statistics general
- Year: 2013
- Publisher: Springer International Publishing
- Edition: 1
- Language: English
- pdf
This is the first book to show the capabilities of Microsoft Excel to teach physical 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 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.
Includes 159 illustrations in color
Suitable for undergraduates or graduate students
This is the first book to show the capabilities of Microsoft Excel to teach physical 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.
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 159 illustrations in color.
·� � � � � � � � Suitable for undergraduates or graduate students.
Professor. Thomas J. Quirk is currently a Professor of Marketing in the Walker School of Business and Technology at Webster University in St. Louis, Missouri (USA). He has published over 20 articles in professional journals and presented more than 20 papers at professional conferences. He holds a B.S. in Mathematics from John Carroll University, and both an M.A. in Education and a Ph.D. in Educational Psychology from Stanford University, as well as an M.B.A. from the University of Missouri-St. Louis.
Dr. Meghan H. Quirk holds both 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 done research on foodweb dynamics at Wind Cave National Park in South Dakota and research in agro-ecology in Southern Belize. 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 in Bailey, Colorado.
Howard F. Horton holds an M.S. in Biological Sciences from the University of Northern Colorado (UNC) and a B.S. in Biological Sciences from Mesa State College. He has worked on research projects in Pawnee National Grasslands, Rocky Mountain National Park, Long-Term Ecological Research at Toolik Lake, Alaska, and Wind Cave, South Dakota. 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, and a District Wildlife Manager with the Colorado Division of Parks and Wildlife. He is currently the Angler Outreach Coordinator with Colorado Parks and Wildlife.
This is the first book to show the capabilities of Microsoft Excel to teach physical 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.
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 159 illustrations in color.
·� � � � � � � � Suitable for undergraduates or graduate students.
Professor. Thomas J. Quirk is currently a Professor of Marketing in the Walker School of Business and Technology at Webster University in St. Louis, Missouri (USA). He has published over 20 articles in professional journals and presented more than 20 papers at professional conferences. He holds a B.S. in Mathematics from John Carroll University, and both an M.A. in Education and a Ph.D. in Educational Psychology from Stanford University, as well as an M.B.A. from the University of Missouri-St. Louis.
Dr. Meghan H. Quirk holds both 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 done research on foodweb dynamics at Wind Cave National Park in South Dakota and research in agro-ecology in Southern Belize. 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 in Bailey, Colorado.
Howard F. Horton holds an M.S. in Biological Sciences from the University of Northern Colorado (UNC) and a B.S. in Biological Sciences from Mesa State College. He has worked on research projects in Pawnee National Grasslands, Rocky Mountain National Park, Long-Term Ecological Research at Toolik Lake, Alaska, and Wind Cave, South Dakota. 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, and a District Wildlife Manager with the Colorado Division of Parks and Wildlife. He is currently the Angler Outreach Coordinator with Colorado Parks and Wildlife.
Content:
Front Matter....Pages i-xvii
Sample Size, Mean, Standard Deviation, and Standard Error of the Mean....Pages 1-19
Random Number Generator....Pages 21-35
Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing....Pages 37-66
One-Group t-Test for the Mean....Pages 67-81
Two-Group t-Test of the Difference of the Means for Independent Groups....Pages 83-110
Correlation and Simple Linear Regression....Pages 111-152
Multiple Correlation and Multiple Regression....Pages 153-168
One-Way Analysis of Variance (ANOVA)....Pages 169-185
Back Matter....Pages 187-248
This is the first book to show the capabilities of Microsoft Excel to teach physical 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.
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 159 illustrations in color.
·� � � � � � � � Suitable for undergraduates or graduate students.
Professor. Thomas J. Quirk is currently a Professor of Marketing in the Walker School of Business and Technology at Webster University in St. Louis, Missouri (USA). He has published over 20 articles in professional journals and presented more than 20 papers at professional conferences. He holds a B.S. in Mathematics from John Carroll University, and both an M.A. in Education and a Ph.D. in Educational Psychology from Stanford University, as well as an M.B.A. from the University of Missouri-St. Louis.
Dr. Meghan H. Quirk holds both 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 done research on foodweb dynamics at Wind Cave National Park in South Dakota and research in agro-ecology in Southern Belize. 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 in Bailey, Colorado.
Howard F. Horton holds an M.S. in Biological Sciences from the University of Northern Colorado (UNC) and a B.S. in Biological Sciences from Mesa State College. He has worked on research projects in Pawnee National Grasslands, Rocky Mountain National Park, Long-Term Ecological Research at Toolik Lake, Alaska, and Wind Cave, South Dakota. 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, and a District Wildlife Manager with the Colorado Division of Parks and Wildlife. He is currently the Angler Outreach Coordinator with Colorado Parks and Wildlife.
Content:
Front Matter....Pages i-xvii
Sample Size, Mean, Standard Deviation, and Standard Error of the Mean....Pages 1-19
Random Number Generator....Pages 21-35
Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing....Pages 37-66
One-Group t-Test for the Mean....Pages 67-81
Two-Group t-Test of the Difference of the Means for Independent Groups....Pages 83-110
Correlation and Simple Linear Regression....Pages 111-152
Multiple Correlation and Multiple Regression....Pages 153-168
One-Way Analysis of Variance (ANOVA)....Pages 169-185
Back Matter....Pages 187-248
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