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Question
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suppose the heights (in inches) of men (ages 20 - 29) in the united states are normally distrib a mean of 69.3 inches and a standard deviation of 2.92 inches. find each of the following.
- the percent of men who are between 60.54 inches and 78.06 inches tall.
- the percent of men who are shorter than 60.54 inches.
Step1: Calculate the number of standard deviations from the mean
For \(60.54\): \(\frac{69.3 - 60.54}{2.92}=\frac{8.76}{2.92} = 3\)
For \(78.06\): \(\frac{78.06 - 69.3}{2.92}=\frac{8.76}{2.92}=3\)
Step2: Use the empirical rule for normal distribution
The empirical rule states that for a normal distribution, about \(99.7\%\) of the data lies within \(3\) standard deviations of the mean.
Step3: Find the percentage for part 2
Since \(99.7\%\) of the data is within \(z=- 3\) and \(z = 3\), the percentage of data outside of this range (in both tails) is \(100 - 99.7=0.3\%\). Since the normal distribution is symmetric, the percentage of data less than \(z=-3\) (i.e., shorter than \(60.54\) inches) is \(\frac{0.3\%}{2}=0.15\%\)
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- \(99.7\%\)
- \(0.15\%\)