Ecological MethodologyEcological Methodology, Second Edition provides a balance of material on animal and plant populations, and teaches students of ecology how to design efficient tests in order to obtain maximum precision with minimal work. |
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Page 88
... Proportion of stems expected to have 1 aphid Probability of stems expected to have 2 aphids 2.65 = 0.1093 x 1+ ... Proportion of stems expected with 3 aphids = 0.1488 Proportion of stems expected with 4 aphids = 0.1190 Proportion of ...
... Proportion of stems expected to have 1 aphid Probability of stems expected to have 2 aphids 2.65 = 0.1093 x 1+ ... Proportion of stems expected with 3 aphids = 0.1488 Proportion of stems expected with 4 aphids = 0.1190 Proportion of ...
Page 209
... proportions , the sample estimate of the proportion P is simply p = a / n = where p Proportion of type x individuals a = Number of type x individuals in sample n = Sample size The standard error of the estimated proportion p is , from ...
... proportions , the sample estimate of the proportion P is simply p = a / n = where p Proportion of type x individuals a = Number of type x individuals in sample n = Sample size The standard error of the estimated proportion p is , from ...
Page 246
... proportions , we consider the two hypotheses : Ho : P≤ To H1 : Ρ ΣΠΙ where p = Observed proportions TO = Expected lower estimate of the population proportion π1 = Expected upper estimate of the population proportion πι For example ...
... proportions , we consider the two hypotheses : Ho : P≤ To H1 : Ρ ΣΠΙ where p = Observed proportions TO = Expected lower estimate of the population proportion π1 = Expected upper estimate of the population proportion πι For example ...
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Common terms and phrases
abundance aphids Appendix assumptions bias calculations capture Caughley census zone Chapter chi-square clumped coefficient of variation confidence interval confidence limits defined density estimate distance ecological ecologists END-OF-FILE Enter equal catchability equation estimate of population estimate population example Figure finite population FORMAT 2X formula frequency distribution index of dispersion line transect mark-recapture marked animals method n₁ nearest neighbor negative binomial distribution niche breadth niche overlap normal distribution null hypothesis Number of animals Number of individuals number of quadrats number of samples number of species observed obtained parameters Petersen plot Poisson distribution population density population estimate problem Program proportion quadrat counts random points random sampling ratio READ recaptures regression sample size sample sizes sampling unit Schnabel Seber second sample simple random sampling spatial pattern standard error statistical statistical population stratum study area survival rate Table techniques Total number transformation variable variance