"Statistical analysis is an integral part of biomedical and life science research: the analysis and interpretation of data sets gained during experimentation has become a prerequisite for understanding the results of those experiments. Life scientists do not need to be statisticians however, but they do need to be competent and confident users of statistics and statistical methods. Many life scientists shy away from gaining that competence, partly because the teaching and learning materials available are too long, detailed, and maths-heavy for biomedical researchers. As a result, many researchers rely on statistical software, using it without real understanding, which can lead to inappropriate practice, problematic statistical reporting, and incorrect conclusions drawn from experimental data"-- Provided by publisher.