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Prediction of batch heat transfer coefficients for pseudoplastic fluids ...

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120<br />

greater than 2.0. In this case there<strong>for</strong>e there is a 90%<br />

probability that the difference in variance between correlation<br />

A ~nd<br />

C is significant. Thus correlation C is a better<br />

fit <strong>for</strong> the anchor data.<br />

It may be seen from this example that in order <strong>for</strong> a<br />

correlation to be significantly better than another the ratio<br />

<strong>of</strong> the variances must be about 1 • .5 or gl"eatel", depending upon<br />

the degrees <strong>of</strong> freedom and choice <strong>of</strong> probability limits<br />

desired.. Comparison <strong>of</strong> the variances listed in Table 5-7<br />

shows that the above eXELmple was the only case in Hhich one<br />

correlation 1-laS significantly better than another <strong>for</strong> all <strong>of</strong><br />

the <strong>fluids</strong> tested. Thus, except <strong>for</strong> the anchor agitator,<br />

the three correlations fit the data equally v.Jell..<br />

It l

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