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Biostatistics for the Biological and Health Sciences, Global Edition

Biostatistics for the Biological and Health Sciences, Global Edition

Autorzy
Wydawnictwo Pearson Education Limited
Data wydania 16/04/2018
Liczba stron 728
Forma publikacji książka w miękkiej oprawie
Poziom zaawansowania Dla szkół wyższych i kształcenia podyplomowego
ISBN 9781292229362
Kategorie Prawdopodobieństwo i statystyka, Biologia
Zastępuje 9781292039640
327.00 PLN (z VAT)
$82.81 / €73.09 / £65.51 /
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Dostawa 2 dni
Ilość
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Opis książki

For courses in Biostatistics. Real-world applications connect statistical concepts to everyday life. Biostatistics for the Biological and Health Sciences uses a variety of real-world applications to bring statistical theories and methods to life. Through these examples and a friendly writing style, the 2nd Edition ensures that students understand concepts and develop skills in critical thinking, technology, and communication. The result of collaboration between two biological sciences experts and the author of the #1 statistics book in the US, Biostatistics for the Biological and Health Sciences provides an excellent introduction to statistics for students studying the biological, life, medical, and health sciences. Pearson MyLab (TM) Statistics not included. Students, if MyLab is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN and course ID. Mastering should only be purchased when required by an instructor. Instructors, contact your Pearson rep for more information. Pearson MyLab Statistics is an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results. Within its structured environment, students practice what they learn, test their understanding, and pursue a personalized study plan that helps them absorb course material and understand difficult concepts.

Biostatistics for the Biological and Health Sciences, Global Edition

Spis treści

1. Introduction to Statistics

2. Exploring Data with Tables and Graphs

3. Describing, Exploring, and Comparing Data

4. Probability

5. Discrete Probability Distributions

6. Normal Probability Distributions

7. Estimating Parameters and Determining Sample Sizes

8. Hypothesis Testing

9. Inferences from Two Samples

10. Correlation and Regression

11. Goodness-of-Fit and Contingency Tables

12. Analysis of Variance

13. Nonparametric Tests

14. Survival Analysis

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