Essential Mathematics and Statistics for Science
2nd Edition
Will be published approx. on 17. April 2009
Book
Hardback
404 pages
978-0-470-69449-7 (ISBN)
Description
This book is a completely revised and updated version of this invaluable text which allows science students to extend necessary skills and techniques, with the topics being developed through examples in science which are easily understood by students from a range of disciplines. The introductory approach eases students into the subject, progressing to cover topics relevant to first and second year study and support data analysis for final year projects.
The revision of the material in the book has been matched, on the accompanying website, with the extensive use of video, providing worked answers to over 200 questions in the book plus additional tutorial support. The second edition has also improved the learning approach for key topic areas to make it even more accessible and user-friendly, making it a perfect resource for students of all abilities. The expanding website provides a wide range of support material, providing a study environment within which students can develop their independent learning skills, in addition to providing resources that can be used by tutors for integration into other science-based programmes.
Hallmark Features:
* Applied approach providing mathematics and statistics from the first to final years of undergraduate science courses.
* Second edition substantially revised to improve the learning approach to key topics and the organisation of resources for ease of use in teaching.
* Companion website at www.wiley.com/go/currellmaths2 providing:
* Over 200 videos showing step-by-step workings of problems in the book.
* Additional materials including related topic areas, applications, and tutorials on Excel and Minitab.
* Interactive multiple-choice questions for self-testing, with step-by-step video feedback for any wrong answers.
* A developing resource of study plans for useful topics and applications.
* Figures from the book for downloading.
More details
Other editions
Additional editions
Graham Currell | Antony Dowman
Essential Mathematics and Statistics for Science
Book
04/2009
2nd Edition
Wiley
€44.90
Shipment within 10-20 days
Previous edition
Graham Currell | Antony Dowman
Essential Mathematics and Statistics for Science
Book
04/2005
1st Edition
Wiley
€115.00
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Persons
Graham Currell was a Principal Lecturer in physics at the University of the West of England until his retirement in 2009. During his career, he was involved in the preparation of specialist training programs to support staff in university science laboratories in Asia, the Middle East, Africa and Central America. Since 2000, he has concentrated on the development of data analysis modules and self-study materials for students.
Antony Dowman is the author of Essential Mathematics and Statistics for Science, 2nd Edition, published by Wiley.
Antony Dowman is the author of Essential Mathematics and Statistics for Science, 2nd Edition, published by Wiley.
Content
Preface. On-line Learning Support.
1 Mathematics and Statistics in Science.
1.1 Data and Information.
1.2 Experimental Variation and Uncertainty.
1.3 Mathematical Models in Science.
2 Scientific Data.
2.1 Scientific Numbers.
2.2 Scientific Quantities.
2.3 Chemical Quantities.
2.4 Angular Measurements.
3 Equations in Science.
3.1 Basic Techniques.
3.2 Rearranging Simple Equations.
3.3 Symbols.
3.4 Further Equations.
3.5 Quadratic and Simultaneous Equations.
4 Linear Relationships.
4.1 Straight Line Graph.
4.2 Linear Regression.
4.3 Linearization.
5 Logarithmic and Exponential Functions.
5.1 Mathematics of e, ln and log.
5.2 Exponential Growth and Decay.
6 Rates of Change.
6.1 Rate of Change.
6.2 Differentiation.
7 Statistics for Science.
7.1 Analysing Replicate Data.
7.2 Describing and Estimating.
7.3 Frequency Statistics.
7.4 Probability.
7.5 Factorials, Permutations and Combinations.
8 Distributions and Uncertainty.
8.1 Normal Distribution.
8.2 Uncertainties in Measurement.
8.3 Presenting Uncertainty.
8.4 Binomial and Poisson Distributions.
9 Scientific Investigation.
9.1 Scientific Systems.
9.2 The 'Scientific Method'.
9.3 Decision Making with Statistics.
9.4 Hypothesis Testing.
9.5 Selecting Analyses and Tests.
10 t -tests and F-tests.
10.1 One-sample t -tests.
10.2 Two-sample t -tests.
10.3 Paired t -tests.
10.4 F-tests.
11 ANOVA - Analysis of Variance.
11.1 One-way ANOVA.
11.2 Two-way ANOVA.
11.3 Two-way ANOVA with Replication.
11.4 ANOVA Post Hoc Testing.
12 Non-parametric Tests for Medians.
12.1 One-sample Wilcoxon Test.
12.2 Two-sample Mann-Whitney U-test.
12.3 Paired Wilcoxon Test.
12.4 Kruskal-Wallis and Friedman Tests.
13 Correlation and Regression.
13.1 Linear Correlation.
13.2 Statistics of Correlation and Regression.
13.3 Uncertainty in Linear Calibration.
14 Frequency and Proportion.
14.1 Chi-squared Contingency Table.
14.2 Goodness of Fit.
14.3 Tests for Proportion.
15 Experimental Design.
15.1 Principal Techniques.
15.2 Planning a Research Project.
Appendix I: Microsoft Excel.
Appendix II: Cumulative z -areas for Standard Normal Distribution.
Appendix III: Critical Values: t -statistic and Chi-squared, ?2.
Appendix IV: Critical F-values at 0.05 (95 %) Significance.
Appendix V: Critical Values at 0.05 (95 %) Significance for: Pearson's Correlation Coefficient, r , Spearman's Rank Correlation Coefficient, rS, and Wilcoxon Lower Limit, WL.
Appendix VI: Mann-Whitney Lower Limit, UL, at 0.05 (95 %)Significance.
Short Answers to 'Q' Questions.
Index.
1 Mathematics and Statistics in Science.
1.1 Data and Information.
1.2 Experimental Variation and Uncertainty.
1.3 Mathematical Models in Science.
2 Scientific Data.
2.1 Scientific Numbers.
2.2 Scientific Quantities.
2.3 Chemical Quantities.
2.4 Angular Measurements.
3 Equations in Science.
3.1 Basic Techniques.
3.2 Rearranging Simple Equations.
3.3 Symbols.
3.4 Further Equations.
3.5 Quadratic and Simultaneous Equations.
4 Linear Relationships.
4.1 Straight Line Graph.
4.2 Linear Regression.
4.3 Linearization.
5 Logarithmic and Exponential Functions.
5.1 Mathematics of e, ln and log.
5.2 Exponential Growth and Decay.
6 Rates of Change.
6.1 Rate of Change.
6.2 Differentiation.
7 Statistics for Science.
7.1 Analysing Replicate Data.
7.2 Describing and Estimating.
7.3 Frequency Statistics.
7.4 Probability.
7.5 Factorials, Permutations and Combinations.
8 Distributions and Uncertainty.
8.1 Normal Distribution.
8.2 Uncertainties in Measurement.
8.3 Presenting Uncertainty.
8.4 Binomial and Poisson Distributions.
9 Scientific Investigation.
9.1 Scientific Systems.
9.2 The 'Scientific Method'.
9.3 Decision Making with Statistics.
9.4 Hypothesis Testing.
9.5 Selecting Analyses and Tests.
10 t -tests and F-tests.
10.1 One-sample t -tests.
10.2 Two-sample t -tests.
10.3 Paired t -tests.
10.4 F-tests.
11 ANOVA - Analysis of Variance.
11.1 One-way ANOVA.
11.2 Two-way ANOVA.
11.3 Two-way ANOVA with Replication.
11.4 ANOVA Post Hoc Testing.
12 Non-parametric Tests for Medians.
12.1 One-sample Wilcoxon Test.
12.2 Two-sample Mann-Whitney U-test.
12.3 Paired Wilcoxon Test.
12.4 Kruskal-Wallis and Friedman Tests.
13 Correlation and Regression.
13.1 Linear Correlation.
13.2 Statistics of Correlation and Regression.
13.3 Uncertainty in Linear Calibration.
14 Frequency and Proportion.
14.1 Chi-squared Contingency Table.
14.2 Goodness of Fit.
14.3 Tests for Proportion.
15 Experimental Design.
15.1 Principal Techniques.
15.2 Planning a Research Project.
Appendix I: Microsoft Excel.
Appendix II: Cumulative z -areas for Standard Normal Distribution.
Appendix III: Critical Values: t -statistic and Chi-squared, ?2.
Appendix IV: Critical F-values at 0.05 (95 %) Significance.
Appendix V: Critical Values at 0.05 (95 %) Significance for: Pearson's Correlation Coefficient, r , Spearman's Rank Correlation Coefficient, rS, and Wilcoxon Lower Limit, WL.
Appendix VI: Mann-Whitney Lower Limit, UL, at 0.05 (95 %)Significance.
Short Answers to 'Q' Questions.
Index.