According to an almanac, 80% of adult smokers started smoking before turning 18 years old. (a) Compute the mean and standard deviation of the random variable X, the number of smokers who started before 18 in 200 trials of the probability experiment. (b) Interpret the mean. (c) Would it be unusual to observe 170 smokers who started smoking before turning 18 years old in a random sample of 200 adult smokers? Why? (a) Hx = (Round to the nearest tenth as needed.) (b) What is the correct interpretation of the mean? O A. It is expected that in a random sample of 200 adult smokers, 160 will have started smoking after turning 18. O B. It is expected that in a random sample of 200 adult smokers, 160 will have started smoking before turning 18. O C. It is expected that in 50% of random samples of 200 adult smokers, 160 will have started smoking before turning 18. (c) Would it be unusual to observe 170 smokers who started smoking before turning 18 years old in a random sample of 200 adult smokers? enl O A. Yes, because 170 is between u - 2o and u+20. sigi O B. Yes, because 170 is greater than p +20. O C. No, because 170 is less than u- 20. igni O D. Yes, because 170 is between u - 20 and u + 20. O E. No, because 170 is between u - 20 and u + 20.

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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!