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Unformatted text preview: } # Estimate desired probabilities by computing the # relative frequency with which each ’sum’ appears upturn = 2:12 probs = rep(0,length(upturn)) for (k in 1:11) { probs[k] = mean(sumroll==upturn[k]) } 5. Ross: p 52, P26 (this is a challenge; you might save it for last!) 6. Problem: • Ross: p 53, P41. Hint: consider computing the probability of the complement of the speciFed event . • Write a program that approximates the answer. In particular, write and run a program that will (i) simulate 5000 rolls of 4 dice; then, (ii) compute the percentage of these simulated rolls in which at least one of the 4 dice comes up as a ’6’. The R program on the previous page may be helpful 7. Ross: p 53, P43 8. Ross: p 55, T10 9. Ross: p 55, T12 10. Ross: p 55, T16...
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This note was uploaded on 10/06/2010 for the course BTRY 4080 taught by Professor Schwager during the Fall '06 term at Cornell.
 Fall '06
 SCHWAGER

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