## 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. |

### From inside the book

Results 1-3 of 76

Page 7

Hence, the

1.226 - 0.1238 = 1.1022 and so is precise at most to one decimal point (1.2).

Thus, the original lengths should be measured at most to one decimal point or

0.1 ...

Hence, the

**standard error**could probably range from 1.226 + 0.1238 = 1.3498 to1.226 - 0.1238 = 1.1022 and so is precise at most to one decimal point (1.2).

Thus, the original lengths should be measured at most to one decimal point or

0.1 ...

Page 204

... and the

where sg =

denned above (6.3) n = Sample size /"= Sampling fraction = n/N These formulas ...

... and the

**standard error**of the population mean x is given by Si = \f £ (VT^f) (6.4)where sg =

**Standard error**of the mean x s2 = Variance of the measurements asdenned above (6.3) n = Sample size /"= Sampling fraction = n/N These formulas ...

Page 215

69.803 The

variance of the stratified mean cannot be calculated unless there are at least two

...

69.803 The

**standard error**of the stratified mean is the square root of its variance:**Standard error**of (jcSt) = V Variance of jcst = V69.803 = 8.355 Note that thevariance of the stratified mean cannot be calculated unless there are at least two

...

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Ecological Methodology Charles J. Krebs,CHARLES L. KREBS,Professor of Zoology Charles J Krebs No preview available - 1999 |

### Common terms and phrases

abundance aerial analysis aphids Appendix assumptions bias calculations capture Caughley Chapter clumped coefficient of variation confidence interval confidence limits defined density estimate distance ecological ecologists END-OF-FILE equal catchability equation estimate of population estimate population example Figure finite population FORMAT 2X,'ENTER formula frequency distribution index of dispersion level of precision line transect mark-recapture marked animals Morisita 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 probability problem Program proportion quadrat counts random points random sampling ratio READ regression resource sample size sample sizes sampling unit Seber second sample sequential sampling simple random sampling spatial pattern standard error statistical statistical population stratum study area survival rate Table techniques Total number transformation unmarked variable variance voles