Suppose that the distribution of Writing SAT scores from your state this year is normally distributed with mean 480 and standard deviation 110 for males, and mean 500 and standard deviation 100 for females. If someone who scores 700 or higher on the Math SAT can be considered exceptional, the proportion of exceptional students among male SAT takers is about
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 distribution of Writing SAT scores from your state this year is
If someone who scores 700 or higher on the Math SAT can be considered exceptional, the proportion of exceptional students among male SAT takers is about
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