Given that (7000) fresh graduated students in United State participated in a exam in which the highest score is 100. Their results were normally distributed with an average of (70) and standard deviation of (10). If you knew that the passing score to get certified is (85), then: a. Find the number of students who get certified. b. If (792) students were actually certified, what was the minimum score achieved? If needed refer to the z-table available on the Internet.
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!
Given that (7000) fresh graduated students in United State participated in a exam in which the highest score is 100. Their results were
a. Find the number of students who get certified.
b. If (792) students were actually certified, what was the minimum score achieved? If needed refer to the z-table available on the Internet.
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