Fundamental Biostatistics ebook
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This free e-book was crafted to give you a conceptual and practical understanding of statistics. We use real, biological examples and include relevant R code throughout the text to make sure it is applicable for biologists, environmentalists, and others working in the life sciences.
Topics include:
What is statistics?
Running statistical tests in R
Types of data distributions
Interpreting statistical results
Applying statistics to biological data
- Section 1 – Introduction statistics covers the very basic elements of statistics. We cover hypothesis testing, probability distributions, standard deviations, confidence intervals, p-values, effect sizes
- Section 2 – Understanding our Data covers what you need to know about data as it relates to statistics. This includes types of data distributions, assumptions such as normality, homogeneity of variances, independence between variables and how to transform your data. This section also includes all the R-code needed for you to start exploring your own data!
- Section 3 – Common Statistical tests is a practical section that covers to how to run and interpret common statistical tests in the R programming environment. These include t-tests, ANOVAs, Correlations, linear regressions, and Chi-Squared analyses.Â
- Resources, Glossary, and More information contains definitions for terms found throughout the book, additional information, and summaries for all the concepts covered.