If a variable has a distribution that is bell-shaped with mean 27 and standard deviation 6, then according to the Empirical Rule, 95.0% of the data will lie between which values? (This is a reading assessment question. Be certain of your answer because you only get one attempt on this question.) According to the Empirical Rule, 95.0% of the data will lie between and (Type integers or decimals rounded to two decimal places as needed. Use ascending order.)
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!
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