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The Analysis of Biological Data notes

Michael C. Whitlock, Dolph Schluter - ISBN: 9781319325343

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View all 23 notes for The Analysis of Biological Data, written by Michael C. Whitlock, Dolph Schluter. All The Analysis of Biological Data notes, flashcards, summaries and study guides are written by your fellow students or tutors. Get yourself a The Analysis of Biological Data summary or other study material that matches your study style perfectly, and studying will be a breeze.

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Statistics for Life Sciences - Chapter 1: Statistics and Samples
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These are the notes for Chapter 1: Statistics and Samples in Statistics for Life Sciences.

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Statistics for Life Sciences - Chapter 8: Goodness of Fit Test
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These are the notes for Chapter 8: Goodness of Fit Test in Statistics for Life Sciences.

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Statistics for Life Sciences - Chapter 7: Binomial Distribution Part 2
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These are the notes for the second part of Lecture 7: Binomial Distribution and correspond to Chapter 7 in Statistics for Life Sciences. These notes cover binomial tests and the confidence interval for p.

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Statistics for Life Sciences - Chapter 12: Inferences Comparing Two Population Means
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These are the notes for Chapter 12: Inferences Comparing Two Population Means in Statistics for Life Sciences.

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Statistics for Life Sciences - Chapter 11: Inferences for the Mean
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These are the notes for Chapter 11: Inferences for the Mean in Statistics for Life Sciences. The topics covered are t-tables, confidence intervals, and hypothesis testing.

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Statistics for Life Sciences - Chapter 10: Normal Distributions
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These are the notes for Chapter 10: Normal Distributions in Statistics for Life Sciences. The topics covered are normal distributions, calculating z-scores, and normal probability.

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Summary of the book, The Analysis of Biological Data Chapter 15-17
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Summary of the chapters of the book 'The Analysis of Biological Data' Chapter 15-17. Very informative and easy readable.

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Summary of the book, The Analysis of Biological Data Chapter 7-14
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Summary of the book ' The Analysis of Biological Data' Chapter 7-14. Very well explained basic statistics, especially for biologists.

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Statistics for Life Sciences - Chapter 9: Contingency Analysis
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These are the notes for Chapter 9: Contingency Analysis in Statistics for Life Sciences.

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Statistics for Life Sciences - Chapter 8: Goodness of Fit Test Part 2
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These are the notes for the second part of Chapter 8: Goodness of Fit Test in Statistics for Life Sciences.

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Statistics for Life Sciences - Chapter 8: Goodness of Fit Test
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These are the notes for Chapter 8: Goodness of Fit Test in Statistics for Life Sciences.

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Statistics for Life Sciences - Chapter 7: Binomial Distribution Part 2
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These are the notes for the second part of Lecture 7: Binomial Distribution and correspond to Chapter 7 in Statistics for Life Sciences. These notes cover binomial tests and the confidence interval for p.

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Lecture 7: Binomial Distribution
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These are the notes for the first part of Lecture 7: Binomial Distribution and correspond to Chapter 7 in Statistics for Life Sciences. These notes cover the topic of binomial distribution, conditions needed, and the standard error of the estimate.

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Statistics for Life Sciences - Chapter 6: Hypothesis Testing
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These are the notes for Chapter 6: Hypothesis Testing in Statistics for Life Sciences.

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Statistics for Life Sciences - Chapter 10: Normal Distributions
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These are the notes for Chapter 10: Normal Distributions in Statistics for Life Sciences. The topics covered are normal distributions, calculating z-scores, and normal probability.

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Summary The Analysis of Biological Data

Analysis of Biological Data provides students with a practical foundation of statistics for biology students. Every chapter has several biological or medical examples of key concepts, and each example is prefaced by a substantial description of the biological setting. The emphasis on real and interesting examples carries into the problem sets where students have dozens of practice problems based on real data. The third edition features over 200 new examples and problems. These include new calculation practice problems, which guide the student step by step through the methods, and a greater number of examples and topics come from medical and human health research. Every chapter has been carefully edited for even greater clarity and ease of use. All the data sets, R scripts for all worked examples in the book, as well as many other teaching resources, are available to adopting instructors.