Suppose that people’s heights (in centimeters) are normally distributed, with a mean of 170 and a standard deviation of 5. We find the heights for 60 people. Use the standard normal distribution table to answer the following questions and round your answer to the nearest whole number. A. How many people would you expect to be between 160 and 180 cm tall? B. How many would you expect to
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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