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Practical Statistics for the Biological Sciences : Simple Pathways to Statistical Analyses - Stephen Ashcroft

Practical Statistics for the Biological Sciences

Simple Pathways to Statistical Analyses

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

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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 variabilityp. 17
Histograms and box plots: Using graphic plots to visualise data distributionsp. 30
Student's t-test: Comparing two samplesp. 41
The Mann-Whitney U-test: Comparing two samples using a non-parametric methodp. 49
The paired t-test: Comparing paired samplesp. 59
The Wilcoxon Signed-Rank test: A non-parametric test for paired samplesp. 65
One-way Analysis of Variance (ANOVA): Comparing the means of several groupsp. 71
Matched-samples ANOVA: Comparing several matched groupsp. 79
Multiple comparison tests: Post hoc methods for comparing the means of several groupsp. 85
The Kruskal-Wallis test: A non-parametric method for comparing the means of several groupsp. 100
The Friedman test: Comparing several matched samples using a non-parametric methodp. 105
Two-way ANOVA: Comparing several groups for the effects of two independent variablesp. 109
Correlation and regression: Establishing relationships between two variablesp. 116
The Chi-square tests: Hypothesis testing for categorical variablesp. 133
Useful statistics: Combining sems and calculating standard errors of differences, sums, ratios and productsp. 143
Critical values for Student's t-distributionp. 149
Critical values for Snedecor's F-testp. 150
Critical values for Mann-Whitney U-testp. 151
Critical values for F-distributionp. 152
Values of q for Tukey testp. 154
Critical values for Chi-square-distributionp. 155
Critical values for Spearman's Rank Correlation Coefficientp. 156
Glossaryp. 157
Indexp. 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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