Benjamin/Cummings, 1999 - Science - 620 pages
This coherent text translates the methods of statisticians into "ecological English" so that students may readily apply these methods to the real world. Ecological Methodology, Second Edition provides a balance of material on animal and plant populations. It teaches students of ecology how to design the most efficient tests in order to obtain maximum precision with minimal work. The first part of the text focuses on biological and technical issues in statistical methodology. Students learn about advances that have been made in designing better sampling devices, along with the techniques and equipment used for sampling. The second part deals with creating solid statistical design, and presents all methods that are well-known to statisticians in a language and context that students will easily understand.
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Charles J. Krebs, CHARLES L. KREBS, Professor of Zoology Charles J Krebs.
Chi-Squared Goodness-of-Fit Test. To test the null hypothesis that the Poisson
distribution provides an adequate fit to the observed data, we can use the old ...
To test the null hypothesis of a random spatial pattern, we use equation (6.13):
_X (xă) 385.330 X (r?) 176.850 2.18 Under the null hypothesis of a random
spatial pattern, h is distributed as F with degrees of freedom 2n (= 24) in both
The critical differences between classical and sequential sampling are shown in
the following table: Sample size Statistical inference Classical statistical analysis
Fixed in advance Two possibilities Accept null hypothesis Reject null hypothesis