Excel 2010 for Biological and Life Sciences Statistics

This accessible guide to using Excel 2010 as a tool in the life sciences takes a methodical, stepwise approach ideal for newcomers to the program. With more than 150 screenshots and a wealth of practical exercises, it unlocks Excel’s potential as a study aid.

This is the first book to show the capabilities of Microsoft Excel to teach biological and life 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 Biological and Life 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.

Preface.- Acknowledgements.- 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.- Index.