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A distribution of measurements is relatively mound-shaped with mean 50 and standard deviation 10. If a measurement is chosen at random from this distribution, what is the probability that it will be greater than 60?
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This can be solved by using the normal distribution to approximate the discrete distribution of the measurements. It is necessary to make a correction for continuity of 0.5, therefore the z-score must be found for 60 + 0.5 = 60.5. \[z=\frac{X-\mu}{\sigma}=\frac{60.5-50}{10}\] When the cumulative probability for the value of z is found it must be subtracted from 1 to find the required probability.
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