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Understanding Statistical Error - A Primer for Biologists (Paperback)
Loot Price: R1,208
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Understanding Statistical Error - A Primer for Biologists (Paperback)
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This accessible introductory textbook provides a straightforward,
practical explanation of how statistical analysis and error
measurements should be applied in biological research.
Understanding Statistical Error - A Primer for Biologists: *
Introduces the essential topic of error analysis to biologists *
Contains mathematics at a level that all biologists can grasp *
Presents the formulas required to calculate each confidence
interval for use in practice * Is based on a successful series of
lectures from the author s established course Assuming no prior
knowledge of statistics, this book covers the central topics needed
for efficient data analysis, ranging from probability
distributions, statistical estimators, confidence intervals, error
propagation and uncertainties in linear regression, to advice on
how to use error bars in graphs properly. Using simple mathematics,
all these topics are carefully explained and illustrated with
figures and worked examples. The emphasis throughout is on visual
representation and on helping the reader to approach the analysis
of experimental data with confidence. This useful guide explains
how to evaluate uncertainties of key parameters, such as the mean,
median, proportion and correlation coefficient. Crucially, the
reader will also learn why confidence intervals are important and
how they compare against other measures of uncertainty.
Understanding Statistical Error - A Primer for Biologists can be
used both by students and researchers to deepen their knowledge and
find practical formulae to carry out error analysis calculations.
It is a valuable guide for students, experimental biologists and
professional researchers in biology, biostatistics, computational
biology, cell and molecular biology, ecology, biological chemistry,
drug discovery, biophysics, as well as wider subjects within life
sciences and any field where error analysis is required.
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