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Last modified
7/14/2009 5:02:36 PM
Creation date
5/20/2009 3:01:13 PM
Metadata
Fields
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UCREFRP
UCREFRP Catalog Number
9597
Author
U.S. Environmental Protection Agency.
Title
Biological Field and Laboratory Methods for Measuring the Quality of Surface Waters and Effluents.
USFW Year
1973.
USFW - Doc Type
Cincinnati, OH.
Copyright Material
NO
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<br />BIOLOGICAL METHODS <br /> <br />terminology: <br />Ho: There is no significant interaction effect <br />Computations for testing this hypothesis with <br />the use of an analysis of variance table are <br />presented below. <br />Symbolically, an observation must have three <br />indices specified to be completely identified: <br />position, time, and sample number. Thus there <br />are three subscripts: Xi jk is an observation at <br />position i, time j, and from sample k. A value of <br />1 for i is upstream; 2, downstream; 1 for j is <br />before; 2, after. A particular example is Xl 2 3, <br />the third sample upstream after the plant began <br />operation, or 22.1 pounds. A total (Table 10) is <br />specified by using the dot notation. For the <br />value of ~ j., then the individually sampled <br />values for position i, time j are totaled. It is a <br />total for a treatment combination. For example, <br />the value of XII. is 158.9, and the value of Xl.., <br />where samplings and times are both totaled to <br />give the total for upstream, is 290.7. <br />For a slight advantage in generality, let the <br />following additional symbols apply: t = number <br />of times of sampling (in this case t = 2); p = <br />number of positions samples (in this case p = 2); <br />s = number of samples per treatment combina- <br />tion; and n = the total number of observations. <br /> <br />The computations are: <br />Correction for mean (CT): <br /> <br />(~Xi jk)2 (529.2)2 <br />n = -zn- <br />= 14002.63 <br /> <br />Treatment Sum of Squares (SSTMT): <br />(~Xij.2) <br />s - CT <br />(158.9)2 (131.8)2 (144.1)2 (94.4)2 <br />---s- + ----s- +--s- +---s- - 14002.63 = 456.69 <br /> <br />(Note that the divisor (5) may be factored out <br />here, if desired, but where a different number of <br />samples is taken for each treatment combination <br />it should be left as above.) <br /> <br />Positions Sum of Squares (SSP): <br /> <br />~X' 2 <br />1.. CT <br />-st - <br />(25~o7)2 + (23:05)2 _ 14002.63 = 136.24 <br /> <br />Times Sum of Squares (SST): <br /> <br />~X.j.2_CT <br />sp <br /> <br />(3~~0)2 + (22:02)2 _ 14002.63 = 294.91 <br /> <br />Interaction of Positions and Times Sum of <br />Squares (SSPT): <br /> <br />SSTMT - sSP - SST <br />456.69 - 136.24 - 294.91 = 25.54 <br /> <br />Error Sums of Squares: <br /> <br />~ Xi jk2 - SSTMT - CT <br /> <br />15308.24 - 456.69 - 14002.63 = 848.92 <br /> <br />Although not important to this example, the <br />main effects, positions and times, are tested for <br />significance. The F table is entered with df = 1 <br />for effect tested, and df = 16 for error. The posi- <br />tions effect is not significant at any probability <br />usually employed. The times effect is significant <br />with probability greater than .95. The inter- <br />action effect is not significant, and we, there- <br />fore, conclude that no effect of the suspected <br />toxic effluent can be distinguished in this data. <br />Had the F value for interaction been large <br />enough, we would have rejected the null hy- <br />pothesis, and concluded that the effluent had a <br />significant effect (Table 11). <br /> <br />. <br /> <br />TABLE 11. ANALYSIS OF VARIANCE <br />TABLE FOR FIELD STUDY DATA <br />OF TABLE 9 <br /> <br />Source df SS MS F <br />Treatments 3 456.69 <br />Positions 1 136.24 136.24 2.56 <br />Times 1 294.91 294.91 5.55* <br />Positions <br />X times 1 25.54 25.54 <1 <br />Error 16 848.92 53.05 <br /> <br />6.0 CONFIDENCE INTERVALS FOR MEANS <br />AND VARIANCES <br /> <br />When means are computed in field studies, the <br />desire often is to report them as intervals rather <br />than as fixed numbers. This is entirely reason- <br />able because computed means are virtually <br />always derived from samples and are subject to <br />the same uncertainty that is associated with the <br />sample. <br /> <br />. <br /> <br />18 <br />
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