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Q2 Z2,(Q2) Z2(Q2) - Institute for Water Resources - U.S. Army

Q2 Z2,(Q2) Z2(Q2) - Institute for Water Resources - U.S. Army

Q2 Z2,(Q2) Z2(Q2) - Institute for Water Resources - U.S. Army

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T o natio, a, of total miscellaneous delays per year to total yearly<br />

ruaning time is defined:<br />

Note also that t o =<br />

a = t It .<br />

o r<br />

(1..42)<br />

cit . Since the previous analysis permits the es-<br />

timation of T r' which is the point-to-point counterpart of t r , an<br />

.!stimate of miscellaneous delay time expected to be encountered on<br />

any given trip, T o , is<br />

T o = aT r . (4.43)<br />

The factor of proportionality, a, must be estimated from the aggregate<br />

delay data. Note that t o and t r are available from the aggregate data<br />

<strong>for</strong> each of the 59 boat-year observations. A sample of a's, defined<br />

as in Equation (4.42), are there<strong>for</strong>e available.<br />

The central limit theorem leads one to believe that the distri-<br />

bution of a should be approximately normal, <strong>for</strong> miscellaneous delays<br />

are the sum of seven independent random variables. The data were .<br />

tested <strong>for</strong> normality with a standard chi-square test employing seven<br />

cells. With four degrees of freedom, the calculated statistic is<br />

0.12; the statistic would have to exceed 9.49 <strong>for</strong> significance of<br />

conventional levels. There<strong>for</strong>e, it is concluded that the distribu-<br />

tion of miscellaneous delays is not significantly different from<br />

normal. .<br />

,<br />

Given a normally 'distributed random variable, probably the best<br />

estimate of the mean <strong>for</strong> most purposes is the sample arithmetic mean.<br />

I., .<br />

ILI

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