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0243 with the student s t statistic 2315 We conclude that the regression t is excellent; the high t values mean that the beta is statistically highly signi cant, so we reject the null hypothesis b = 0 Since the two estimates of b and R2 do not differ much, we can reliably accept the estimate b = 10243 In light of the discussion of equation (229) we note that in this application we are more interested in testing whether the null hypothesis H0: b = 1 That is, we want to know whether the risk of the Magellan fund is as much as the risk of the market portfolio Since hypothesis testing is more reliable for the model with the intercept, we use the Student s t statistic revised as [b - 1]/SE = 03295, where the standard error (SE) is 00440.

This is statistically insigni cant, suggesting that the beta for Magellan is close enough to unity and the observed small difference could have arisen from random variation The simple average of the returns in Table 214 given along the bottom row suggest that the risk premium of the Magellan over TB3 (= 1948 - 0411 = 1537) is not small However, the Van 500 average return 1927 is close to 1948 for the Magellan The usual risk measured by the standard deviation for the Magellan fund (sm = 52201) exceeds the risk of Van 500 (sv = 49609) However, are the two standard deviations statistically signi cantly different Could the sm arise from a population with standard deviation s0 = 4.

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bandwidth also has the disadvantage of increasing S a , the equivalent phase noise due to additive noise, at the carrier-recovery output. This is the product of the equivalent phase noise at the input and H (fm ). Since H (fm ) is a low-pass function, increasing bandwidth lets more noise through, shifting the = 0 curve in Fig. 9.12 to the right. If tracking the input phase noise S is good, why is it not good to track the phase component of the input additive noise It appears on the data also. However, in the process of ignoring phase steps due to the data, S a on the recovered carrier becomes uncorrelated from S a on the data. Thus the S a that is tracked by the carrier-recovery loop adds to S a of the data, increasing the total effective phase noise. To understand how one kind of noise can cancel while the other adds, consider that a phase deviation of shifts both the carrier phase and the data phase by . Even after the data causes a transition of d , its phase will be increased by . If the loop is wide enough, the data and the recovered carrier will have the same . However, the equivalent phase noise that is derived from additive noise depends on the relationship between the noise sidebands and the signal and, when the signal phase steps by d , that relationship changes. The equivalent phase noise on the data undergoes steps, but the equivalent phase noise on the recovered carrier does not. Thus the equivalent phase changes do not cancel.

9609 (based on the Van 500) estimate The test statistic Tm = (n - 1)(sm)2/(s0)2, where n = 33, the number of observations in the data Now Tm = 3543014 follows a c2 distribution with (n - 1) degrees of freedom with a tabulated value of 4619426 for a 5% tail We conclude that the Magellan fund s standard deviation is not signi cantly different from 49609 Similarly we can de ne Tv = (n - 1)(sv)2/(s0)2 = 2890195 < 4619426 the tabulated value We conclude that the two variances are not statistically signi cantly different The point to remember is that the risk measured by beta is distinct from the risk measured by the standard deviation of the distribution of returns..

While many factors have a direct or indirect impact on the success of software projects, we believe that recent economic developments, legislative actions, and standardization efforts have made three categories particularly deserving of our discussion: offshore outsourcing, regulatory compliance, and quality initiatives. Until recently, outsourcing has been considered a choice that many software organizations elected to pursue in order to increase operational ef ciency. However, as the practice of outsourcing software development has become prevalent, many companies currently consider it a matter of survival, not merely preference. The facts that outsourced work is performed by individuals who do not have direct allegiance to the organization sponsoring their work, cultural and language barriers are the norm, and contractual agreements often cannot be

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