It takes the average reader 7 hours and 18 minutes to read Introduction to Statistical Data Analysis for the Life Sciences by Claus Thorn Ekstrom
Assuming a reading speed of 250 words per minute. Learn more
Any practical introduction to statistics in the life sciences requires a focus on applications and computational statistics combined with a reasonable level of mathematical rigor. It must offer the right combination of data examples, statistical theory, and computing required for analysis today. And it should involve R software, the lingua franca of statistical computing. Introduction to Statistical Data Analysis for the Life Sciences covers all the usual material but goes further than other texts to emphasize: Both data analysis and the mathematics underlying classical statistical analysis Modeling aspects of statistical analysis with added focus on biological interpretations Applications of statistical software in analyzing real-world problems and data sets Developed from their courses at the University of Copenhagen, the authors imbue readers with the ability to model and analyze data early in the text and then gradually fill in the blanks with needed probability and statistics theory. While the main text can be used with any statistical software, the authors encourage a reliance on R. They provide a short tutorial for those new to the software and include R commands and output at the end of each chapter. Data sets used in the book are available on a supporting website. Each chapter contains a number of exercises, half of which can be done by hand. The text also contains ten case exercises where readers are encouraged to apply their knowledge to larger data sets and learn more about approaches specific to the life sciences. Ultimately, readers come away with a computational toolbox that enables them to perform actual analysis for real data sets as well as the confidence and skills to undertake more sophisticated analyses as their careers progress.
Introduction to Statistical Data Analysis for the Life Sciences by Claus Thorn Ekstrom is 427 pages long, and a total of 109,739 words.
This makes it 144% the length of the average book. It also has 134% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 9 hours and 59 minutes to read Introduction to Statistical Data Analysis for the Life Sciences aloud.
Introduction to Statistical Data Analysis for the Life Sciences is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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