Based on a​ poll, among adults who regret getting​ tattoos, 22​% say that they were too young when they got their tattoos. Assume that seven adults who regret getting tattoos are randomly​ selected, and find the indicated probability. Complete parts​ (a) through​ (d) below. a. Find the probability that none of the selected adults say that they were too young to get tattoos.   nothing ​(Round to four decimal places as​ needed.) b. Find the probability that exactly one of the selected adults says that he or she was too young to get tattoos.   nothing ​(Round to four decimal places as​ needed.) c. Find the probability that the number of selected adults saying they were too young is 0 or 1.   nothing ​(Round to four decimal places as​ needed.) d. If we randomly select seven ​adults, is 1 a significantly low number who say that they were too young to get​ tattoos?   ▼   No, Yes, because the probability that ▼   at most 1 exactly 1 at least 1 more than 1 less than 1 of the selected adults say that they were too young is ▼   equal to less than greater than 0.05.

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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!