Quadrat Analysis_RW_Thomas

However this is not the usual case in quadrat

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Unformatted text preview: ch worker wishes to demonstrate a close correspondence between the observed and expected distributions by accepting the null hypothesis. It follows that if the research worker is to maintain a conservative statistical approach he must select a significance level which minimises the probability of Typc II errors. Therefore the severity of the test described by Table 2 would be increased if the significance level were also increased, say to p = .20, because raising the significance level to higher probabilities reduces the value of 6. For a full discussion of the Chi-square test in quadrat analysis the reader is referred to Rogers (1974, Ch.5). (ii) place a lower limit on the number of observations in a frequency class. Statisticians disagree on the precise form of this convention, although the current opinion is that in quadrat analysis it is possible to reduce the lower limit to 1 without serious loss of accuracy (see Rogers (1974, p.68)). In order to test the null hypothesis that there is no significant differ...
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This note was uploaded on 02/15/2012 for the course GEO 6938 taught by Professor Staff during the Summer '08 term at University of Florida.

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