It takes the average reader 9 hours and 8 minutes to read Introduction to Statistical Data Analysis for the Life Sciences, Second Edition by Claus Thorn Ekstrom
Assuming a reading speed of 250 words per minute. Learn more
A Hands-On Approach to Teaching Introductory Statistics Expanded with over 100 more pages, Introduction to Statistical Data Analysis for the Life Sciences, Second Edition presents the right balance of data examples, statistical theory, and computing to teach introductory statistics to students in the life sciences. This popular textbook covers the mathematics underlying classical statistical analysis, the modeling aspects of statistical analysis and the biological interpretation of results, and the application of statistical software in analyzing real-world problems and datasets. New to the Second Edition A new chapter on non-linear regression models A new chapter that contains examples of complete data analyses, illustrating how a full-fledged statistical analysis is undertaken Additional exercises in most chapters A summary of statistical formulas related to the specific designs used to teach the statistical concepts This text provides a computational toolbox that enables students to analyze real datasets and gain the confidence and skills to undertake more sophisticated analyses. Although accessible with any statistical software, the text encourages a reliance on R. For those new to R, an introduction to the software is available in an appendix. The book also includes end-of-chapter exercises as well as an entire chapter of case exercises that help students apply their knowledge to larger datasets and learn more about approaches specific to the life sciences.
Introduction to Statistical Data Analysis for the Life Sciences, Second Edition by Claus Thorn Ekstrom is 529 pages long, and a total of 137,011 words.
This makes it 179% the length of the average book. It also has 167% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 12 hours and 28 minutes to read Introduction to Statistical Data Analysis for the Life Sciences, Second Edition aloud.
Introduction to Statistical Data Analysis for the Life Sciences, Second Edition 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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