Excel 2016 for environmental sciences statistics : a guide to solving practical problems / Thomas J. Quirk, Meghan H. Quirk, Howard F. Horton.

Format:

Book

Author/Creator:

Quirk, Thomas J., author.

Quirk, Meghan, author.

Horton, Howard F., author.

Series:

Excel for statistics

Language:

English

Subjects (All):

Microsoft Excel (Computer file).

Environmental sciences--Statistical methods.

Environmental sciences.

Mathematical statistics.

Physical Description:

xvii, 252 pages : illustrations (some color) ; 24 cm.

Place of Publication:

Switzerland : Springer, [2016]

Summary:

This book is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical environmental 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 is an effective learning tool for quantitative analyses in environmental science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2016 for Environmental Science 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 2016 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 environmental 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.

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:

9783319400563

3319400568

OCLC:

950952778

Publisher Number:

99969467906