Suppose that the total daily carbohydrate intake for all boys age 13 to 15 years old in the US is normally distributed with a mean of 125 grams per thousand calories with the standard deviation of 25 grams per thousand calories. approximately what percent of boys in this age range have a daily carbohydrate intake between 100 and 175 grams per thousand calories? 81.5% 95% 68%
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!
Suppose that the total daily carbohydrate intake for all boys age 13 to 15 years old in the US is
approximately what percent of boys in this age
81.5%
95%
68%
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