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a. Let P ( n ) be the probability of exactly n active inputs to the index rotors, assuming that the control rotors generate random permutations. Find P ( n ) for n = 1,2,3,4.

x re tx f 1x2 dx,

EXAMPLE S5-5

b. If there are n active inputs to the index rotors, then there are (f) possible distinct active outputs. For n = 1,2,3,4, determine the number of these ):( outputs that result in 1, 2, 3, and 4 of the cipher rotors stepping.

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Determine the moment generating function and use it to verify that the mean and variance of the binomial random variable are np and 2 np(1 p). From the de nition of a moment generating function, we have MX 1t2

You can choose to turn the operational sounds your camera makes on or off whenever you change a setting. 6 highlights several shooting situations where muting the camera makes sense.

5-10

Taking the rst and second derivatives, we obtain M 1t2 X and M 1t2 X If we set t d 2MX 1t2 dt 2 npet 11 p npet 2 31 p1et 12 4 n

c. Let S ( n )be the probability that exactly n cipher rotors step. Assuming that the outputs in part b are uniformly distributed, calculate S ( n ) for n = l , 2 , 3 , 4 .

12 4 n

EXAMPLE S5-6

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23. In the primary phase of the Sigaba attack, using n known plaintext letters, the expected work factor is z. 243.4 for some z.Suppose

Find the moment generating function of the normal random variable and use it to show that the mean and variance of this random variable are and 2, respectively. The moment generating function is MX 1t2 etx 1 12 1 12 e

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differ between the two companies The standard deviation of concentration in a random sample of n1 10 batches produced by company 1 is s1 47 grams per liter, while for company 2, a random sample of n2 16 batches yields s2 58 grams per liter Is there suf cient evidence to conclude that the two population variances differ Use 005 10-48 Consider the etch rate data in Exercise 10-21 Test 2 2 2 the hypothesis H0: 2 1 2 against H1: 1 2 using 005, and draw conclusions 10-49 Consider the etch rate data in Exercise 10-21 Suppose that if one population variance is twice as large as the other, we want to detect this with probability at least 090 (using 005) Are the sample sizes n1 n2 10 adequate 10-50 Consider the diameter data in Exercise 10-17.

where p = (25/26) , that is, p is the probability that no consistent extension of a path exists (in the random case). Under this assumption, show that the primary phase work factor is less than 245.1 for any choice of n. 24. Write a program to generate empirical results analogous to those in Tables 2.7 and 2.8.

Construct the following: (a) A 90% two-sided con dence interval on 1 2 (b) A 95% two-sided con dence interval on 1 2 Comment on the comparison of the width of this interval with the width of the interval in part (a) (c) A 90% lower-con dence bound on 1 2 10-51 Consider the foam data in Exercise 10-18 Construct the following: (a) A 90% two-sided con dence interval on 2 2 1 2 (b) A 95% two-sided con dence interval on 2 2 Comment 1 2 on the comparison of the width of this interval with the width of the interval in part (a) (c) A 90% lower-con dence bound on 1 2 10-52 Consider the lm speed data in Exercise 10-24 Test 2 2 2 H0: 2 002 2 using 1 2 versus H1: 1 10-53 Consider the gear impact strength data in Exercise 10-22.

Is there suf cient evidence to conclude that the variance of impact strength is different for the two suppliers Use 005 10-54 Consider the melting point data in Exercise 10-25 Do the sample data support a claim that both alloys have the.

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