@article{754212,
      recid = {754212},
      author = {Quirk, Thomas J. and Quirk, Meghan, and Horton, Howard  F.,},
      title = {Excel 2013 for physical sciences statistics a guide to  solving practical problems / [electronic resource] :},
      pages = {1 online resource (xviii, 242 pages) :},
      abstract = {This book shows the capabilities of Microsoft Excel in  teaching physical sciences statistics effectively. Similar  to the previously published Excel 2010 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 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. Suitable for undergraduates or  graduate students Includes 163 color screen shots so you  can be sure you are performing Excel steps correctly 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. 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 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, Rocky  Mountain National Park, Long Term Ecological Research at  Toolik Lake, Alaska, and Wind Cave, South Dakota. He has  co-authored articles in Th e International Journal of  Speleology and Th e 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 for Colorado Parks and Wildlife (USA).},
      url = {http://library.usi.edu/record/754212},
      doi = {https://doi.org/10.1007/978-3-319-28964-9},
}