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# Practical Statistics for the Biological Sciences

### Simple Pathways to Statistical Analyses

Paperback Published: 18th December 2002
ISBN: 9780333960448
Number Of Pages: 168

### Paperback

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Practical Statistics for the Biological Sciences is a handbook of statistical methods for use by workers in the biological sciences at all levels from undergraduate to post-doctoral researcher.
The book presents, in a clear and compact form, the most common statistical tests used in the biosciences. It provides a series of flow charts to help in selecting the appropriate test. Each test is described concisely and illustrated by worked examples.
The text is accompanied by a CD-ROM containing both Windows and Apple Macintosh versions of PractiStat, a new programme for statistical analysis. PractiStat can be used both as a teaching aid to work through the examples provided and as a valuable, easy to use tool for analysis of the users' own data. The programme provides a simple, intuitive interface and permits the application of the common statistical tests and procedures used by bioscientists.

 List of figures List of tables List of boxes List of tutorials Preface Basic concepts of statistics: An introduction to the science behind 'significantly different' p. 1 Descriptive statistics: Measures of central tendency and variability p. 17 Histograms and box plots: Using graphic plots to visualise data distributions p. 30 Student's t-test: Comparing two samples p. 41 The Mann-Whitney U-test: Comparing two samples using a non-parametric method p. 49 The paired t-test: Comparing paired samples p. 59 The Wilcoxon Signed-Rank test: A non-parametric test for paired samples p. 65 One-way Analysis of Variance (ANOVA): Comparing the means of several groups p. 71 Matched-samples ANOVA: Comparing several matched groups p. 79 Multiple comparison tests: Post hoc methods for comparing the means of several groups p. 85 The Kruskal-Wallis test: A non-parametric method for comparing the means of several groups p. 100 The Friedman test: Comparing several matched samples using a non-parametric method p. 105 Two-way ANOVA: Comparing several groups for the effects of two independent variables p. 109 Correlation and regression: Establishing relationships between two variables p. 116 The Chi-square tests: Hypothesis testing for categorical variables p. 133 Useful statistics: Combining sems and calculating standard errors of differences, sums, ratios and products p. 143 Critical values for Student's t-distribution p. 149 Critical values for Snedecor's F-test p. 150 Critical values for Mann-Whitney U-test p. 151 Critical values for F-distribution p. 152 Values of q for Tukey test p. 154 Critical values for Chi-square-distribution p. 155 Critical values for Spearman's Rank Correlation Coefficient p. 156 Glossary p. 157 Index p. 164 Table of Contents provided by Blackwell. All Rights Reserved.

ISBN: 9780333960448
ISBN-10: 0333960440
Audience: Tertiary; University or College
Format: Paperback
Language: English
Number Of Pages: 168
Published: 18th December 2002
Country of Publication: GB
Dimensions (cm): 23.4 x 15.6  x 1.2
Weight (kg): 0.32
Edition Number: 1

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