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We may express a speci c joint probability as P(X = Dorm2, Y = Male) = 0.40 (40% of the students in the university live in Dorm2 and are male). We may also sum a row or column of the table to obtain a marginal probability. For example, the marginal probability that a student is female can be obtained by summing the values of the second row of the table: P(Y = Female) = 0.15 + 0.00 + 0.30 = 0.45 It is an easy matter to calculate the conditional probabilities from a fully-speci ed joint probability table. Let us suppose, for example, that we observe that a student is female. How do the probabilities of X change, given that the student is female We need to calculate the conditional probability P(X|Y = Female). From Eq. 8.5: P(X = Dorm1|Y = Female) = = P(X = Dorm2|Y = Female) = = P(X = Dorm3|Y = Female) = = P(X = Dorm1, Y = Female) P(Y = Female) 0.15 = 0.25 0.15 + 0.00 + 0.30 P(X = Dorm2, Y = Female) P(Y = Female) 0.00 = 0.00 0.15 + 0.00 + 0.30 P(X = Dorm3, Y = Female) P(Y = Female) 0.30 = 0.75 0.15 + 0.00 + 0.30 barcode generator dll in vb.net print barcodes using printdocument-VBForums
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Using Free C# Souce Code to Generate Barcode Labels for ASP.NET Web Application & IIS Projects. Advanced 1D & 2D C# Barcode Design Library for ASP. 36 45 automating Web development with commands Including custom XML tags examining new Property inspectors Modifying keyboard shortcuts expanding Dreamweaver s core functionality Translating server-side content (b) Archean 0 40 Depth (km) free vb.net barcode library Windows 8 How to Generate and Create Barcode in C# sample in ...
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Free .NET Windows Forms Control & DLL The Freeware .NET Barcode Forms Control DLL by IDAutomation may be used by individuals and organizations that ... 100 km; and second, that a more ef cient mechanism than conduction operates below this depth whereby heat is transferred at a much lower thermal gradient. These processes can be distinguished by considering the variation in heat ow over the Earth s surface in conjunction with the variation in content of radioactive minerals of different crustal types. Heat ow generally decreases with the age of the crust (Sclater et al., 1980). Within the oceans heat ow decreases from the ocean ridges to the anking basins and it has been shown (Section 6.4) that this cooling correlates with a progressive thickening of the oceanic lithosphere and an increase in water depth. Similarly, the heat ow of backarc basins (Section 9.10) decreases with age, with the presently active basins exhibiting the greatest heat ow. Within continental regions the heat ow generally decreases with increasing time since the last tectonic event. Consequently, Precambrian shields are characterized by the lowest heat ow and young mountain belts by the highest. The representation of the global pattern of heat ow is dif cult because the density of the observations is highly variable so that the location of contours can be greatly biased by only a small number of measurements. Chapman & Pollack (1975) overcame the problem of limited observations in some areas by predicting the heat ow in those areas on the basis of the correlation of heat ow with the age of the oceanic lithosphere and the age of the last tectonic event to affect continental crust. In Fig. 12.3 their results are presented by a spherical harmonic analysis of the .net barcode recognition Create BarCode Images in ASP.NET - CodeProject
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