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MD5(M) // initialize ( A ,B , C,D ) = IV ( A , , D ) = (0x67452301,Oxef cdab89,Ox98badcfe,0x10325476) B f o r i = 0 t o N/16 - 1 // Copy block i into X xj = Y16i+j, f o r j = 0 t o 15 // Copy X to W Wj = X g ( j l , for j = 0 to 63 // initialize Q (Q-4, Q-3, Q-2, Q-1) = (A, D , C , B) // Rounds 0, 1, 2 and 3 RoundO(Q, W ) Roundl(Q, W ) Round2 (Q,W ) Round3(Q, W ) // Each addition is modulo 2 ( A ,B, ,D ) = (Q6o + Q-4, Q63 Q-I, Q6z + Q-2, Q6i + Q - 3 ) C next i return A,B , C , D end MD5

and one must choose equal sample sizes, say, n n1 n2. The one-sided alternative hypotheses require the use of Charts VIc and VId. For the one-sided alternatives H1: 1 2 0 or H1: 1 , the abscissa scale is also given by 2 0 d

MF-Point Zoom is similar to AF-point Zoom in that it displays a magni ed image of the focused area superimposed over the original composition when shooting in Manual Focus mode. Your choices are On or Off.

2 2 1 2 2

6. It is claimed in [122] (without further explanation) that in MD5, the shift amounts in each round have been approximately optimized, to yield a faster avalanche effect . Also, the shifts employed in each round of MD5 are distinct, which is not the case in MD4.

0 2 1 2 2

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It is not unusual to encounter problems where the costs of collecting data differ substantially between the two populations, or where one population variance is much greater than the other. In those cases, we often use unequal sample sizes. If n1 n2, the operating characteristic curves may be entered with an equivalent value of n computed from n

A single MD5 step is illustrated in Figure 5.5, where fi(A, C )= B,

2 1 2 1 2 2 2 2

(10-4)

If n1 n2, and their values are xed in advance, Equation 10-4 is used directly to calculate n, and the operating characteristic curves are entered with a speci ed d to obtain . If we are given d and it is necessary to determine n1 and n2 to obtain a speci ed , say, *, we guess at trial values of n1 and n2, calculate n in Equation 10-4, and enter the curves with the speci ed value of d to nd . If *, the trial values of n1 and n2 are satisfactory. If *, adjustments to n1 and n2 are made and the process is repeated.

It may be instructive to compare Figure 5.5 to a step of the MD4 algorithm, which is illustrated in Figure 5.3. As in the MD4 attack of Section 5.3, here we denote rounds i through j of the MD5 function as MD5i..,j(A,B , C ,D , M ) , where ( A , C ,D ) are the B, initial values at step i and M is a 512-bit input block. Similar to MD4, we have MD5o...6 3 w , MI # h ( M ) ,

EXAMPLE 10-2

Consider the paint drying time experiment from Example 10-1. If the true difference in mean drying times is as much as 10 minutes, nd the sample sizes required to detect this difference with probability at least 0.90. 10) The appropriate value of the abscissa parameter is (since 0 0, and d 1 2 2 1

F ( A ,B , C ) G(A,B,C) H(A,B,C) I ( A ,B , C )

2 2 2

10 82

This is a great feature to use if you Review 2 sec. have trouble making sure your image is focused before taking manually 2.4 As you scroll down the Shooting menu, this is the second set of options. focused pictures. Turn this feature on so you can see the magni ed view to check small details and adjust focus. Use the Control dial to focus the image. A distance scale appears on the right side of the LCD. You can ne-tune the focus even further (Safety MF) by pressing the Shutter Release button halfway, but I nd it easier to press the AF frame/erase button to accomplish the same task.

and since the detection probability or power of the test must be at least 0.9, with nd from Appendix Chart VIc that n n1 n2 11.

((Qi-4

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