## 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 204

Cochran (1977) proves that estimates of the population

by the following formulas. For the

xt = Observed value of x in sample i n = Sample size For the variance* of the ...

Cochran (1977) proves that estimates of the population

**mean**and total are givenby the following formulas. For the

**mean***: x = ^ (6.2) n where x = Population**mean**xt = Observed value of x in sample i n = Sample size For the variance* of the ...

Page 256

Fit the quadratic equation to data previously obtained: s2 = aix + a2x2 + b (7.32)

where s2 = Observed variance of a series of measurements or counts x =

Observed

coefficients ...

Fit the quadratic equation to data previously obtained: s2 = aix + a2x2 + b (7.32)

where s2 = Observed variance of a series of measurements or counts x =

Observed

**mean**of a series of measurements or counts a\ , a2 = Regressioncoefficients ...

Page 447

Convert

transformation. For example, if the transformation is log(^T + 1), the

expressed in original units will be X = [antilogtr')] - 1 = 10*' - 1 (13.4) In the

particular case ...

Convert

**means**and confidence limits back to the original scale by the inversetransformation. For example, if the transformation is log(^T + 1), the

**mean**expressed in original units will be X = [antilogtr')] - 1 = 10*' - 1 (13.4) In the

particular case ...

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### Other editions - View all

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