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The weights of adult men in a hypothetical population are approximately normally distributed about a mean of 175 lbs. with a standard deviation of 15 lbs. If Harvey is at the 95th percentile in height for adult men, his weight, in pounds, is closest to:
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First find the z-score corresponding to a cumulative probability of 0.95. Reference to a standard normal distribution table gives z = 1.645. Next we use the equation \[z=\frac{X-\mu}{\sigma}\] and plug in the known values of z, mu and sigma giving: \[1.645=\frac{X-175}{15}\ ..............(1)\] By rearranging (1) we can find the required value of X as follows: \[X=175+(15 \times 1.1.645)=you\ can\ calculate\]
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