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Probability of getting between 1 and 6 answers right by guessing is 0.9104 Probability of getting between 1 and 8 answers right by guessing is 0.9825 Probability of getting between 4 and 4 answers right by guessing is 0.2252 Using Binomial distribution moments

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Example: there are 5 marbles in a bag: 4 are blue, and 1 is red. What is the probability that a blue marble gets picked? Number of ways it can happen: 4 (there are 4 blues). Total number of outcomes: 5 (there are 5 marbles in total). So the probability = 4 5 = 0.8

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Case 1: Suppose the first guess is 1. In this case, the correct number can only lie above 1, it cannot lie below 1. The probability that second guess is correct is given by, P(number lies above 1)*P(second guess is correct | number lies above 1) = ⅚ *⅕ = 5/30=⅙. Therefore, the total probability of winning, when our first guess is 1 is ...

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between 1 and 50. a) What is the probability that the number 20 will not appear until the 12th number? b) What is the expected number of trials until a 20 appears? 5. In order to start a particular board game, a player must roll a 1 or a 6. Show the probability distribution for the number of rolls required to start, up to 10 rolls.

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Generate an array that contains the number between 1 and 100, in order. Generate a random number between 1 and 100; Look up the number at this index in the array and store in your results; Remove the elemnt from the array, making it one shorter; Repeat from step 2, but use 99 as the upper limit of the random number

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This is because any events happenings probabilities can’t be greater than 100%. So that’s why if any of the event probability is greater than 1, calculator shows an error message. Every time the total possible result is 100%. Therefore, there is not a single possibility of having a probability greater than 1 in any event or total of all events.

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Q. The table represents the probability of guessing correct on a 5 question true-false quiz. Find the probability for at least 4 questions correct.