A recent survey reported that 36​% of​ 18- to​ 29-year-olds in a certain country own tablets. Using the binomial​ distribution, complete parts​ (a) through​ (e) below. a. What is the probability that in the next six​ 18- to​ 29-year-olds surveyed, four will own a​ tablet?   The probability is   ​(Type an integer or a decimal. Round to four decimal places as​ needed.) b. What is the probability that in the next six​ 18- to​ 29-year-olds surveyed, all six will own a​ tablet?   The probability is   ​(Type an integer or a decimal. Round to four decimal places as​ needed.) c. What is the probability that in the next six​ 18- to​ 29-year-olds surveyed, at least four will own a​ tablet?   The probability is nothing. ​(Type an integer or a decimal. Round to four decimal places as​ needed.) d. What are the mean and standard deviation of the number of​ 18- to​ 29-year-olds who will own a tablet in a survey of​ six?

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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!