Choosing and Using Statistics: A Biologist's Guide [NOOK Book]

Overview

Choosing and Using Statistics remains an invaluable guide for students using a computer package to analyse data from research projects and practical class work.  The text takes a pragmatic approach to statistics with a strong focus on what is actually needed.  There are chapters giving useful advice on the basics of statistics and guidance on the presentation of data. The book is built around a key to selecting the correct statistical test and then gives clear guidance on how to carry out the test and ...
See more details below
Choosing and Using Statistics: A Biologist's Guide

Available on NOOK devices and apps  
  • NOOK Devices
  • Samsung Galaxy Tab 4 NOOK
  • NOOK HD/HD+ Tablet
  • NOOK
  • NOOK Color
  • NOOK Tablet
  • Tablet/Phone
  • NOOK for Windows 8 Tablet
  • NOOK for iOS
  • NOOK for Android
  • NOOK Kids for iPad
  • PC/Mac
  • NOOK for Windows 8
  • NOOK for PC
  • NOOK for Mac
  • NOOK for Web

Want a NOOK? Explore Now

NOOK Book (eBook)
$29.99
BN.com price
(Save 42%)$51.95 List Price
Note: This NOOK Book can be purchased in bulk. Please email us for more information.

Overview

Choosing and Using Statistics remains an invaluable guide for students using a computer package to analyse data from research projects and practical class work.  The text takes a pragmatic approach to statistics with a strong focus on what is actually needed.  There are chapters giving useful advice on the basics of statistics and guidance on the presentation of data. The book is built around a key to selecting the correct statistical test and then gives clear guidance on how to carry out the test and interpret the output from four commonly used computer packages: SPSS, Minitab, Excel, and (new to this edition) the free program, R. Only the basics of formal statistics are described and the emphasis is on jargon-free English but any unfamiliar words can be looked up in the extensive glossary. This new 3rd edition of Choosing and Using Statistics is a must for all students who use a computer package to apply statistics in practical and project work.

Features new to this edition:

  • Now features information on using the popular free program, R
  • Uses a simple key and flow chart to help you choose the right statistical test
  • Aimed at students using statistics for projects and in practical classes
  • Includes an extensive glossary and key to symbols to explain any statistical jargon
  • No previous knowledge of statistics is assumed
Read More Show Less

Editorial Reviews

Booknews
A handbook for any student or professional biologist who wants to process data using a statistical package on a computer, to select appropriate methods, and to extract important information from the often confusing output produced. Stresses the importance of experimental design, measurement of data, and interpretation of results. Emphasis is on actual use of the most popular statistics packages SPSS, MINITAB, and Microsoft Excel, rather than how they work or how to do the calculations. Annotation c. Book News, Inc., Portland, OR booknews.com
From the Publisher
"Written in a concise and direct style, this book presents a selection of some of the most widely used statistical tests and data exploration techniques." (Biological Conservation, 1 March 2012)

"Written in a concise and direct style, this book presents a selection of some of the most widely used statistical tests and data exploration techniques ... In general, this book is a very good primer for students with no statistical expertise." (Biological Conservation Reviews, 2011)

"This book makes everything so easy. Complicated tests are effortlessly condensed, and the instructions are almost too easy to follow. Diagrams and sample data sets are used frequently so you can practise using tests before applying them to your own data sets, whilst the logical layout guides you toward the correct test for both your data, and what you want to prove (or disprove)." (Animals & Men, February 2011)

Read More Show Less

Product Details

  • ISBN-13: 9781444348217
  • Publisher: Wiley
  • Publication date: 8/2/2011
  • Sold by: Barnes & Noble
  • Format: eBook
  • Edition number: 3
  • Pages: 320
  • Sales rank: 1,128,580
  • File size: 7 MB

Meet the Author

Calvin Dytham has a wide range of research interests in ecology and evolutionary biology and is especially interested in the impacts of dispersal and the arrangement of individuals in space on ecological and evolutionary processes.  He is a Reader in the Department of Biology at the University of York, UK, and has been teaching statistics to undergraduate and postgraduate students since 1994.
Read More Show Less

Table of Contents

Preface.

1 Eight steps to successful data analysis.

2 The basics.

Observations.

Hypothesis testing.

P-values.

Sampling.

Experiments.

Statistics.

3 Choosing a test: a key.

Remember: eight steps to successful data analysis.

The art of choosing a test.

A key to assist in your choice of statistical test.

4 Hypothesis testing, sampling and experimental design.

Hypothesis testing.

Acceptable errors.

P-values.

Sampling.

Experimental design.

5 Statistics, variables and distributions.

What are statistics?

Types of statistics.

What is a variable?

Types of variables or scales of measurement.

Types of distribution.

Discrete distributions.

Continuous distributions.

Non-parametric ‘distributions’.

6 Descriptive and presentational techniques.

General advice.

Displaying data: summarizing a single variable.

Displaying data: showing the distribution of a single variable.

Descriptive statistics.

Using the computer packages.

Displaying data: summarizing two or more variables.

Displaying data: comparing two variables.

Displaying data: comparing more than two variables.

7 The tests 1: tests to look at differences.

Do frequency distributions differ?

Do the observations from two groups differ?

Do the observations from more than two groups differ?

There are two independent ways of classifying the data.

More than one observation for each factor combination (with replication).

There are more than two independent ways to classify the data.

Not all classifications are independent.

Nested or hierarchical designs.

8 The tests 2: tests to look at relationships.

Is there a correlation or association between two variables?

Is there a cause-and-effect relationship between two variables?

Tests for more than two variables.

9 The tests 3: tests for data exploration.

Types of data.

Observation, inspection and plotting.

Symbols and letters used in statistics.

Greek letters.

Symbols.

Upper-case letters.

Lower-case letters.

Glossary.

Assumptions of the tests.

Hints and tips.

A table of statistical tests.

Index.

Read More Show Less

Customer Reviews

Be the first to write a review
( 0 )
Rating Distribution

5 Star

(0)

4 Star

(0)

3 Star

(0)

2 Star

(0)

1 Star

(0)

Your Rating:

Your Name: Create a Pen Name or

Barnes & Noble.com Review Rules

Our reader reviews allow you to share your comments on titles you liked, or didn't, with others. By submitting an online review, you are representing to Barnes & Noble.com that all information contained in your review is original and accurate in all respects, and that the submission of such content by you and the posting of such content by Barnes & Noble.com does not and will not violate the rights of any third party. Please follow the rules below to help ensure that your review can be posted.

Reviews by Our Customers Under the Age of 13

We highly value and respect everyone's opinion concerning the titles we offer. However, we cannot allow persons under the age of 13 to have accounts at BN.com or to post customer reviews. Please see our Terms of Use for more details.

What to exclude from your review:

Please do not write about reviews, commentary, or information posted on the product page. If you see any errors in the information on the product page, please send us an email.

Reviews should not contain any of the following:

  • - HTML tags, profanity, obscenities, vulgarities, or comments that defame anyone
  • - Time-sensitive information such as tour dates, signings, lectures, etc.
  • - Single-word reviews. Other people will read your review to discover why you liked or didn't like the title. Be descriptive.
  • - Comments focusing on the author or that may ruin the ending for others
  • - Phone numbers, addresses, URLs
  • - Pricing and availability information or alternative ordering information
  • - Advertisements or commercial solicitation

Reminder:

  • - By submitting a review, you grant to Barnes & Noble.com and its sublicensees the royalty-free, perpetual, irrevocable right and license to use the review in accordance with the Barnes & Noble.com Terms of Use.
  • - Barnes & Noble.com reserves the right not to post any review -- particularly those that do not follow the terms and conditions of these Rules. Barnes & Noble.com also reserves the right to remove any review at any time without notice.
  • - See Terms of Use for other conditions and disclaimers.
Search for Products You'd Like to Recommend

Recommend other products that relate to your review. Just search for them below and share!

Create a Pen Name

Your Pen Name is your unique identity on BN.com. It will appear on the reviews you write and other website activities. Your Pen Name cannot be edited, changed or deleted once submitted.

 
Your Pen Name can be any combination of alphanumeric characters (plus - and _), and must be at least two characters long.

Continue Anonymously

    If you find inappropriate content, please report it to Barnes & Noble
    Why is this product inappropriate?
    Comments (optional)