Excel 2010 for biological and life sciences statistics a guide to solving practical problems Thomas J. Quirk, Meghan Quirk, Howard Horton

Format:

Book

Author/Creator:

Quirk, Thomas J.

Contributor:

Quirk, Meghan

Horton, Howard F.

Language:

English

Subjects (All):

Microsoft Excel (Computer file).

Electronic spreadsheets.

Life sciences--Statistics--Data processing.

Life sciences.

Biology--Statistics--Data processing.

Biology.

Physical Description:

1 online resource

Place of Publication:

New York, NY Springer ©2013

Language Note:

English

System Details:

text file

PDF

Summary:

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. Includes 162 illustrations in colorSuitable for undergraduates or graduate students

Contents:

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)

Notes:

Includes bibliographical references and index

ISBN:

9781461457794

1461457793

1461457785

9781461457787

OCLC:

820728832

Access Restriction:

Restricted for use by site license