Krista Zamurs owns the largest die manufacturer in Riga. She carefully balanced each die so that each face of the die is equally likely to occur. If you roll one of her die repeatedly, are the outcomes likely to be a normal distribution or not? Why or why not?
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!
Krista Zamurs owns the largest die manufacturer in Riga. She carefully balanced each die so that each face of the die is equally likely to occur. If you roll one of her die repeatedly, are the outcomes likely to be a
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