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 7
... standard error to more than one significant figure . Thus , in this ex- ample , if n = 10 , the probable error of the standard error would be ± 0.433 and clearly the standard error could easily range from 0.8 to 1.7 , so s = 1 and your ...
... standard error to more than one significant figure . Thus , in this ex- ample , if n = 10 , the probable error of the standard error would be ± 0.433 and clearly the standard error could easily range from 0.8 to 1.7 , so s = 1 and your ...
Page 204
... standard error of the population mean x is given by Sx = ( √1 − ƒ ) where S = Standard error of the mean x ( 6.2 ) ( 6.3 ) ( 6.4 ) s2 = Variance of the measurements as defined above ( 6.3 ) n = Sample size ƒ = Sampling fraction = n ...
... standard error of the population mean x is given by Sx = ( √1 − ƒ ) where S = Standard error of the mean x ( 6.2 ) ( 6.3 ) ( 6.4 ) s2 = Variance of the measurements as defined above ( 6.3 ) n = Sample size ƒ = Sampling fraction = n ...
Page 215
... standard error of the stratified mean is the square root of its variance : Standard error of ( XST ) = √Variance of XST = √69.803 = 8.355 Note that the variance of the stratified mean cannot be calculated unless there are at least two ...
... standard error of the stratified mean is the square root of its variance : Standard error of ( XST ) = √Variance of XST = √69.803 = 8.355 Note that the variance of the stratified mean cannot be calculated unless there are at least two ...
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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