Mathematics, 22.02.2020 04:22 Monaycamp13
Suppose a fair and a biassed coin are tossed independently. The biassed one gives 0 with probability 1/3 and 1 with probability 2/3. Let 12 be the set of elementary events {(0,0), (0, 1), (1,0), (1, 1)} consisting of the four possible outcomes. Let the first bit of each pair correspond to the toss of the fair coin, the second to the toss of the biassed coin. (a) What is the probability measure Pr on N? (b) Write down the random variables corresponding to the first and the second toss, let us denote them by X and Y. That is, write down what X and Y assign to each element of 12. (c) Let Z be the XOR of the outcomes of the two tosses, write down this random variable as well. (d) What are the subsets (X = 0], [Z = 1] and [X = 0 1 Z = 1] of N2? (e) Compute Pr(X = 0), Pr(Z = 1), and Pr(x = 01 Z = 1). Compute also Pr(X = 0|Z = 1) and Pr(Z = 11X = 0). Are [X = 0) and [Z = 1) independent events?
Answers: 3
Mathematics, 21.06.2019 13:30
Suppose the first five terms of a sequence are 4, 5, 9, 27, 123. how could the next term in the sequence be generated?
Answers: 1
Mathematics, 21.06.2019 15:50
3-12. write each answer with a reasonable number of figures. find the absolute uncertainty and percent relative uncertainty for each answer. (a) [12.41 (±0.09) + 4.16 (±0.01)] x 7.068 2 (±0.000 4) =? (b) [3.26 (±0.10) x 8.47 (±0.05)] - 0.18 (±0.06) =? (c) 6.843 (±0.008) x 104 + [2.09 (±0.04)- 1.63 (±0.01)] =?
Answers: 1
Mathematics, 21.06.2019 19:30
I'm confused on this could anyone me and show me what i need to do to solve it.
Answers: 1
Suppose a fair and a biassed coin are tossed independently. The biassed one gives 0 with probability...
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