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 isnat 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 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.(a) (b) (c) (d) (e) (f) create an XY scatterplot of these two sets of data such that: ac top title: RELATIONSHIP BETWEEN BODY ... Use Excel to run the regression statistics to find the equation for the leastsquares regression line for these data and display the results below the chart on your spreadsheet. ... By hand: (1a) Circle and label the value of the y-intercept and the ... Important note: Since Excel does not recognize negative correlations in 152 6 Correlation and Simple Linear Regression.

Title | : | Excel 2013 for Biological and Life Sciences Statistics |

Author | : | Thomas J. Quirk, Meghan Quirk, Howard F. Horton |

Publisher | : | Springer - 2014-11-21 |

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