
John C. answered 09/29/15
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Math, Engineering, Physics
First it is important to note the type of distribution such sampling implies. When choosing a candy, it can either be "orange" or "not orange". This is binary in nature. In addition, the size of the sample "n", is fixed at 200 each time the sampling is done. (We don't know what the population size is but we can assume that it is much, much larger than 200. We can either assume sampling with replacement or that the population size is so large that sampling without replacement will not significantly affect the outcome.) Thus a certain proportion, "p", of candies will be orange and the remaining proportion, "1-p", is not orange. This describes a Binomial Distribution (c.f., https://en.wikipedia.org/wiki/Binomial_distribution ). By formula, but also by intuitive reasoning, if a proportion p are orange, then n*p should give the mean number of orange candies to be found in a random drawing of 200. Thus the mean is 200*0.16 = 32. Next, the variance of a binomial distribution is n*p*(1-p) = 200*0.16*0.84 = 26.88. The standard deviation is just the square root of the variance, thus the standard deviation = sqrt(26.88) = 5.18.
John C.