Essential mathematics & statistics for science, (Paper)

• Applied approach providing mathematics and statistics from the first to final years of undergraduate science courses.
• Website with additional content, exercises, examples and worked answers
• The integrated website develops the practical use of EXCEL and statistics software for processing and analysing scientific data
• Learning objectives are tested through the extensive use of in text questions

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 Angular measurements.

3. Equations in Science.

3.1 Basic equation handling.

3.2 Introduction to rearranging equations.

3.3 Rearranging complicated equations.

3.4 Solving equations.

3.5 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 and Information.

7.1 Describing and inferring.

7.2 Frequency statistics.

7.3 Probability.

7.4 Bayesian odds.

7.5 Factorials, permutations and combinations.

8. Distributions and Uncertainty.

8.1 Normal distribution.

8.2 Uncertainties in measurement.

8.3 Experimental uncertainty.

8.4 Binomial distribution.

8.5 Poisson distribution.

9. Scientific Investigation.

9.1 Scientific systems.

9.2 The 'scientific method.

9.3 Hypothesis testing.

10. Parametric Tests.

10.1 Sample variances: F test.

10.2 Sample means: Students t test.

10.3 Linear correlation.

10.4 Test for proportion.

11. Chi squared Tests.

11.1 Test for frequencies.

11.2 Contingency tests.

11.3 Goodness of fit.

12. Non parametric Tests.

12.1 Wilcoxon tests.

12.2 Mann Whitney test.

12.3 Kruskal Wallis and Friedman tests.

12.4 Sign test.

12.5 Spearmans rank correlation.

13. Experimental Design and Analysis.

13.1 Data variance.

13.2 Analysis of variance (ANOVA).

13.3 Experiment design.

Appendixes.

Review Questions.

Short Answers to In text Questions.

Index.