Data Analysis and Presentation Skills: An Introduction for the Life and Medical Sciences / Edition 1

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Undergraduate and post-graduate students in the life sciences are required to research scientific information using a variety of resources. They are then required to use this information to design experiments, generate results, analyse their data and ultimately present this information to academics and referees. The title provides students with the opportunity of developing key skills within several areas enabling them to use such skills as research and presentation tools. A hands-on approach introducing essential ICT skills required for bioscientists to work through final year projects and postgraduate study Enables students to develop key skills within several areas and utilising ICT as a research and presentation tool Introduces fundamental theory alongside practical applications to enhance student understanding Includes numerous relevant examples and case studies relevant to students within the biosciences

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Editorial Reviews

Doody's Review Service
Reviewer: Diane M Tomasic, EdD, RN (Slippery Rock University )
Description: This book introduces the reader to data analysis and presentation techniques used to disseminate research results to the scientific community. It has an associated Web site that includes links to further interned resources and further problems and examples.
Purpose: The purpose is to demonstrate the use of Microsoft Professional/Microsoft Office, Excel, and PowerPoint, an Internet browser, and e-mail client software. This allows readers the opportunity to develop the skills needed to present research findings.
Audience: The target audience is students in life and medical sciences.
Features: The book begins with an introduction to Microsoft Windows. Chapter 2 covers the research and planning of research studies. The focus is identifying sources of information and planning an experimental study. Chapters 3, 4, and 5 discuss the use of Excel in the preparation of graphs and charts and the data and analysis capabilities. Finally, chapter 6 covers the use of PowerPoint to present the data. An appendix includes further readings, Microsoft application key codes, and some statistical tables. The accompanying Web site enhances the text information.
Assessment: This book should be very useful to the target audience. It is especially useful to anyone needing to become more familiar with Microsoft applications.
From the Publisher
"…a primer suited for the inexperienced student or novice researcher in search of a basic foundation of data analysis within the Windows platform." (American Journal of Pharmaceutical Education, Vol. 69, No. 5 (2005))

"There is no reason that anyone who wants to learn how to do statistics using Microsoft Excel would not find this book useful." (CHOICE, July 2005)

"The writing is straightforward and the explanations provided by the author clearly illustrate with liberal inclusion of examples and computer printouts the material discussed." (Journal of Hazardous Materials, June 2005)

"…an invaluable text allowing students to develop appropriate key skills…" (Journal of the American Water Resources Association, February 2005)

"…ideal for any science student who needs a primer in using Microsoft software for data analysis...teachers who support project-based learning will find this complete review invaluable." (NSTA Recommends)

"This book should be very useful…especially useful to anyone needing to become more familiar with Microsoft applications." (Doody's Book Review Service)

" … a comprehensive and useful book which covers virtually all aspects of data analysis and its presentation." (Journal of Biological Education, Spring 2006: Vol.40; 2) 

5 Stars! from Doody
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Product Details

  • ISBN-13: 9780470852736
  • Publisher: Wiley
  • Publication date: 9/28/2004
  • Edition number: 1
  • Pages: 196
  • Product dimensions: 6.85 (w) x 9.72 (h) x 0.73 (d)

Table of Contents

1 Working in the Windows environment 1
1.1 Basic computing terms 1
1.2 Working in Windows 2
1.3 General functions in Microsoft applications 6
2 Researching and planning scientific investigations 11
2.1 Sources of information 11
2.2 Experimental design 28
3 Presenting scientific data 35
3.1 An introduction to Microsoft Excel 35
3.2 Presenting graphs and charts 51
4 Preliminary data analysis 77
4.1 Descriptive statistics 77
4.2 Frequency distributions 86
4.3 Correlation and linear regression 92
5 Statistical analysis 107
5.1 Selecting a statistical test 107
5.2 Statistical tests for two samples 111
5.3 Analysis of variance 135
5.4 The Chi-squared test 148
6 Presentational skills 159
6.1 Preparing for seminars 159
6.2 Using Microsoft PowerPoint 162
6.3 Poster presentations 172
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