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Analysis of Biological Data by Michael C. Whitlock; Dolph Schluter - Second Edition, 2015 from Macmillan Student Store
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Analysis of Biological Data

Second  Edition|©2015 Michael C. Whitlock; Dolph Schluter

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  • About
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  • Contents
  • Authors

About

Biologists and health professionals learn statistics best with real and interesting examples, which is why Analysis of Biological Data features over 200 new examples and problems from today's medical and human health research. Modern methods of statistics are taught step-by-step using fascinating biological and medical cases.

Digital Options

E-book

Read online (or offline) with all the highlighting and notetaking tools you need to be successful in this course.

Learn More

Contents

Table of Contents

PART 1. INTRODUCTION TO STATISTICS
1. Statistics and samples
INTERLEAF 1 Biology and the history of statistics
2. Displaying data
3. Describing data
4. Estimating with uncertainty
INTERLEAF 2 Pseudoreplication
5. Probability
6. Hypothesis testing
INTERLEAF 3 Why statistical significance is not the same as biological importance

PART 2. PROPORTIONS AND FREQUENCIES
7. Analyzing proportions
INTERLEAF 4 Correlation does not require causation
8. Fitting probability models to frequency data
INTERLEAF 5 Making a plan
9. Contingency analysis: associations between categorical variables

PART 3. COMPARING NUMERICAL VALUES
10. The normal distribution
INTERLEAF 6 Controls in medical studies
11. Inference for a normal population
12. Comparing two means
INTERLEAF 7 Which test should I use?
13. Handling violations of assumptions
14. Designing experiments
INTERLEAF 8 Data dredging
15. Comparing means of more than two groups
INTERLEAF 9 Experimental and statistical mistakes

PART 4. REGRESSION AND CORRELATION
16. Correlation between numerical variables
INTERLEAF 10 Publication bias
17. Regression
INTERLEAF 11 Using species as data points

PART 5. MODERN STATISTICAL METHODS
18. Multiple explanatory variables
19. Computer-intensive methods
20. Likelihood
21. Meta-analysis: combining information from multiple studies

Answers to practice problems
Literature cited
Statistical tables
Photo credits
Index

Authors

Michael C. Whitlock

Michael Whitlock is an evolutionary biologist and population geneticist. He is a professor of zoology at the University of British Columbia, where he has taught statistics to biology students since 1995. Whitlock is known for his work on the spatial structure of biological populations, genetic drift, and the genetics of adaptation. He has worked with fungus beetles, rhinos, and fruit flies; mathematical theory; and statistical genetics. He is a fellow of the American Academy of Arts and Sciences and a fellow of the American Association for the Advancement of Science. He is also the former editor-in-chief of The American Naturalist.


Dolph Schluter

Dolph Schluter is a Professor and Canada Research Chair in the Zoology Department and Biodiversity Research Center at the University of British Columbia. He is known for his research on the ecology and evolution of Galapagos finches and threespine stickleback. He is a fellow of the Royal Societies of Canada and London and a foreign member of the Academy of Arts and Sciences.


Biologists and health professionals learn statistics best with real and interesting examples, which is why Analysis of Biological Data features over 200 new examples and problems from today's medical and human health research. Modern methods of statistics are taught step-by-step using fascinating biological and medical cases.

E-book

Read online (or offline) with all the highlighting and notetaking tools you need to be successful in this course.

Learn More

Table of Contents

PART 1. INTRODUCTION TO STATISTICS
1. Statistics and samples
INTERLEAF 1 Biology and the history of statistics
2. Displaying data
3. Describing data
4. Estimating with uncertainty
INTERLEAF 2 Pseudoreplication
5. Probability
6. Hypothesis testing
INTERLEAF 3 Why statistical significance is not the same as biological importance

PART 2. PROPORTIONS AND FREQUENCIES
7. Analyzing proportions
INTERLEAF 4 Correlation does not require causation
8. Fitting probability models to frequency data
INTERLEAF 5 Making a plan
9. Contingency analysis: associations between categorical variables

PART 3. COMPARING NUMERICAL VALUES
10. The normal distribution
INTERLEAF 6 Controls in medical studies
11. Inference for a normal population
12. Comparing two means
INTERLEAF 7 Which test should I use?
13. Handling violations of assumptions
14. Designing experiments
INTERLEAF 8 Data dredging
15. Comparing means of more than two groups
INTERLEAF 9 Experimental and statistical mistakes

PART 4. REGRESSION AND CORRELATION
16. Correlation between numerical variables
INTERLEAF 10 Publication bias
17. Regression
INTERLEAF 11 Using species as data points

PART 5. MODERN STATISTICAL METHODS
18. Multiple explanatory variables
19. Computer-intensive methods
20. Likelihood
21. Meta-analysis: combining information from multiple studies

Answers to practice problems
Literature cited
Statistical tables
Photo credits
Index

Michael C. Whitlock

Michael Whitlock is an evolutionary biologist and population geneticist. He is a professor of zoology at the University of British Columbia, where he has taught statistics to biology students since 1995. Whitlock is known for his work on the spatial structure of biological populations, genetic drift, and the genetics of adaptation. He has worked with fungus beetles, rhinos, and fruit flies; mathematical theory; and statistical genetics. He is a fellow of the American Academy of Arts and Sciences and a fellow of the American Association for the Advancement of Science. He is also the former editor-in-chief of The American Naturalist.


Dolph Schluter

Dolph Schluter is a Professor and Canada Research Chair in the Zoology Department and Biodiversity Research Center at the University of British Columbia. He is known for his research on the ecology and evolution of Galapagos finches and threespine stickleback. He is a fellow of the Royal Societies of Canada and London and a foreign member of the Academy of Arts and Sciences.


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