{"product_id":"essential-mathematics-and-statistics-for-science-9780470694497","title":"Essential Mathematics and Statistics for Science","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eEssential Mathematics and Statistics for Science, Second Edition\u003c\/i\u003e 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, supported by revision material and on-line self-assessments. The book then progresses to cover topics relevant to both first and second year level study as well as supporting data analysis for final year projects. The practical applications of the theory are developed by numerous worked examples and practice questions. 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 all the questions in the book plus additional tutorial support. The second edition has also improved the learning approach for ke\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cb\u003ePreface.\u003c\/b\u003e  \u003cp\u003e\u003cb\u003eOn-line Learning Support.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Mathematics and Statistics in Science.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1 Data and Information.\u003c\/p\u003e \u003cp\u003e1.2 Experimental Variation and Uncertainty.\u003c\/p\u003e \u003cp\u003e1.3 Mathematical Models in Science.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Scientific Data.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 Scientific Numbers.\u003c\/p\u003e \u003cp\u003e2.2 Scientific Quantities.\u003c\/p\u003e \u003cp\u003e2.3 Chemical Quantities.\u003c\/p\u003e \u003cp\u003e2.4 Angular Measurements.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Equations in Science.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 Basic Techniques.\u003c\/p\u003e \u003cp\u003e3.2 Rearranging Simple Equations.\u003c\/p\u003e \u003cp\u003e3.3 Symbols.\u003c\/p\u003e \u003cp\u003e3.4 Further Equations.\u003c\/p\u003e \u003cp\u003e3.5 Quadratic and Simultaneous Equations.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Linear Relationships.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 Straight Line Graph.\u003c\/p\u003e \u003cp\u003e4.2 Linear Regression.\u003c\/p\u003e \u003cp\u003e4.3 Linearization.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Logarithmic and Exponential Functions.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 Mathematics of e, ln and log.\u003c\/p\u003e \u003cp\u003e5.2 Exponential Growth and Decay.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Rates of Change.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 Rate of Change.\u003c\/p\u003e \u003cp\u003e6.2 Differentiation.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Statistics for Science.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7.1 Analysing Replicate Data.\u003c\/p\u003e \u003cp\u003e7.2 Describing and Estimating.\u003c\/p\u003e \u003cp\u003e7.3 Frequency Statistics.\u003c\/p\u003e \u003cp\u003e7.4 Probability.\u003c\/p\u003e \u003cp\u003e7.5 Factorials, Permutations and Combinations.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Distributions and Uncertainty.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8.1 Normal Distribution.\u003c\/p\u003e \u003cp\u003e8.2 Uncertainties in Measurement.\u003c\/p\u003e \u003cp\u003e8.3 Presenting Uncertainty.\u003c\/p\u003e \u003cp\u003e8.4 Binomial and Poisson Distributions.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Scientific Investigation.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e9.1 Scientific Systems.\u003c\/p\u003e \u003cp\u003e9.2 The ‘Scientific Method’.\u003c\/p\u003e \u003cp\u003e9.3 Decision Making with Statistics.\u003c\/p\u003e \u003cp\u003e9.4 Hypothesis Testing.\u003c\/p\u003e \u003cp\u003e9.5 Selecting Analyses and Tests.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10\u003c\/b\u003e \u003cb\u003e\u003ci\u003et\u003c\/i\u003e\u003c\/b\u003e \u003cb\u003e-tests and\u003c\/b\u003e \u003cb\u003e\u003ci\u003eF\u003c\/i\u003e\u003c\/b\u003e\u003cb\u003e-tests.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e10.1 One-sample \u003ci\u003et\u003c\/i\u003e -tests.\u003c\/p\u003e \u003cp\u003e10.2 Two-sample \u003ci\u003et\u003c\/i\u003e -tests.\u003c\/p\u003e \u003cp\u003e10.3 Paired \u003ci\u003et\u003c\/i\u003e -tests.\u003c\/p\u003e \u003cp\u003e10.4 \u003ci\u003eF\u003c\/i\u003e-tests.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 ANOVA – Analysis of Variance.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e11.1 One-way ANOVA.\u003c\/p\u003e \u003cp\u003e11.2 Two-way ANOVA.\u003c\/p\u003e \u003cp\u003e11.3 Two-way ANOVA with Replication.\u003c\/p\u003e \u003cp\u003e11.4 ANOVA \u003ci\u003ePost Hoc\u003c\/i\u003e Testing.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Non-parametric Tests for Medians.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e12.1 One-sample Wilcoxon Test.\u003c\/p\u003e \u003cp\u003e12.2 Two-sample Mann–Whitney \u003ci\u003eU\u003c\/i\u003e-test.\u003c\/p\u003e \u003cp\u003e12.3 Paired Wilcoxon Test.\u003c\/p\u003e \u003cp\u003e12.4 Kruskal–Wallis and Friedman Tests.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 Correlation and Regression.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e13.1 Linear Correlation.\u003c\/p\u003e \u003cp\u003e13.2 Statistics of Correlation and Regression.\u003c\/p\u003e \u003cp\u003e13.3 Uncertainty in Linear Calibration.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 Frequency and Proportion.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e14.1 Chi-squared Contingency Table.\u003c\/p\u003e \u003cp\u003e14.2 Goodness of Fit.\u003c\/p\u003e \u003cp\u003e14.3 Tests for Proportion.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e15 Experimental Design.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e15.1 Principal Techniques.\u003c\/p\u003e \u003cp\u003e15.2 Planning a Research Project.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAppendix I: Microsoft Excel.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAppendix II: Cumulative\u003c\/b\u003e \u003cb\u003e\u003ci\u003ez\u003c\/i\u003e\u003c\/b\u003e \u003cb\u003e-areas for Standard Normal Distribution.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAppendix III: Critical Values:\u003c\/b\u003e \u003cb\u003e\u003ci\u003et\u003c\/i\u003e\u003c\/b\u003e \u003cb\u003e-statistic and Chi-squared,\u003c\/b\u003e \u003ci\u003eχ\u003c\/i\u003e\u003cb\u003e\u003csup\u003e2\u003c\/sup\u003e.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAppendix IV: Critical\u003c\/b\u003e \u003cb\u003e\u003ci\u003eF\u003c\/i\u003e\u003c\/b\u003e\u003cb\u003e-values at 0.05 (95 %) Significance.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAppendix V: Critical Values at 0.05 (95 %) Significance for: Pearson’s Correlation\u003c\/b\u003e \u003cb\u003eCoefficient,\u003c\/b\u003e \u003cb\u003e\u003ci\u003er\u003c\/i\u003e\u003c\/b\u003e \u003cb\u003e, Spearman’s Rank Correlation Coefficient,\u003c\/b\u003e \u003cb\u003e\u003ci\u003er\u003c\/i\u003e\u003c\/b\u003e\u003csub\u003eS\u003c\/sub\u003e\u003cb\u003e, and Wilcoxon Lower\u003c\/b\u003e \u003cb\u003eLimit,\u003c\/b\u003e \u003cb\u003e\u003ci\u003eW\u003c\/i\u003e\u003c\/b\u003e\u003csub\u003eL\u003c\/sub\u003e.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAppendix VI: Mann–Whitney Lower Limit,\u003c\/b\u003e \u003ci\u003eU\u003c\/i\u003e\u003csub\u003eL\u003c\/sub\u003e\u003cb\u003e, at 0.05 (95 %)Significance.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eShort Answers to ‘Q’ Questions.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eIndex.\u003c\/b\u003e\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default 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