The Analysis of Biological DataThe Analysis of Biological Data is a new approach to teaching introductory statistics to biology students. To reach this unique audience, Whitlock and Schluter motivate learning with interesting biological and medical examples; they emphasize intuitive understanding; and they focus on real data. The book covers basic topics in introductory statistics, including graphs, confidence intervals, hypothesis testing, comparison of means, regression, and designing experiments. It also introduces the principles behind such modern topics as likelihood, linear models, meta-analysis and computer-intensive methods. Instructors and students consistently praise the book's clear and engaging writing, strong visualization techniques, and its variety of fascinating and relevant biological examples. |
From inside the book
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... independent units from a population , which makes it possible to estimate population characteristics and the pre- cision of those estimates . In general , the larger the level of replication , the greater our confi- dence in our results ...
... independent , then the probability that they both occur is the probability of the first event multiplied by the probability of the second event . This is called the multiplication rule . This property of independent events is vital to ...
... independent . HA : Parasite infection and being eaten are not independent . To carry out the x2 contingency test , we need to calculate the expected frequencies for each of the cells in Table 9.3-1 under the null hypothesis of ...
Contents
INTRoduction to STATISTICS | 1 |
INTERLEAF | 11 |
REGRESSION AND CORRELATION | 16 |
Copyright | |
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