4. A pair of fair dice are thrown 10 times. This question will be about a binomial distribution. Some event will be a "success" with probability p. Then calculate the probability that e.g. k = 3 or k< 2 or k > 0. 1 (a) What is the probability that the sum of the two dice is greater than 8 in exactly 4 of the 10 throws? (b) What is the probability that the sum of the two dice is greater than 8 for at least 2 of the 10 throws? (c) What is the expected number of times that the sum of the two dice is greater than 8?
Continuous Probability Distributions
Probability distributions are of two types, which are continuous probability distributions and discrete probability distributions. A continuous probability distribution contains an infinite number of values. For example, if time is infinite: you could count from 0 to a trillion seconds, billion seconds, so on indefinitely. A discrete probability distribution consists of only a countable set of possible values.
Normal Distribution
Suppose we had to design a bathroom weighing scale, how would we decide what should be the range of the weighing machine? Would we take the highest recorded human weight in history and use that as the upper limit for our weighing scale? This may not be a great idea as the sensitivity of the scale would get reduced if the range is too large. At the same time, if we keep the upper limit too low, it may not be usable for a large percentage of the population!
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