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 46
... null hypothesis if z is less than 1.645 ( one- tailed test ) . For these data the null hypothesis is rejected , and consequently one could not use these trapping procedures to obtain a valid Petersen population estimate for these birds ...
... null hypothesis if z is less than 1.645 ( one- tailed test ) . For these data the null hypothesis is rejected , and consequently one could not use these trapping procedures to obtain a valid Petersen population estimate for these birds ...
Page 78
... null hypothesis that the spatial pattern is random if z is between 1.96 and -1.96 ( for a = .05 ) . Chi - Square Goodness - of - Fit Test We can use the old standard x2 = Σ ( Observed frequency - expected frequency ) 2 Expected ...
... null hypothesis that the spatial pattern is random if z is between 1.96 and -1.96 ( for a = .05 ) . Chi - Square Goodness - of - Fit Test We can use the old standard x2 = Σ ( Observed frequency - expected frequency ) 2 Expected ...
Page 237
... null hypothesis . All of this is very familiar to ecologists . But there is another way . Sequential sampling is a ... null hypothesis Reject null hypothesis Not fixed Three possibilities Accept null hypothesis Reject null hypothesis ...
... null hypothesis . All of this is very familiar to ecologists . But there is another way . Sequential sampling is a ... null hypothesis Reject null hypothesis Not fixed Three possibilities Accept null hypothesis Reject null hypothesis ...
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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