Male Heights: Assume heights and weights are normally distributed variables with means and standard deviations given in the table below.
Strata | Mean | Standard Deviation | Mean | Standard Deviation |
Height | Height | Weight | Weight | |
(inches) | (inches) | (pounds) | (pounds) | |
U.S. Men | 69.1 | 2.9 | 191 | 28 |
U.S. Women | 64.0 | 2.8 | 145 | 32 |
NFL Quarterbacks | 76.5 | 1.8 | 245 | 25 |
Top Female Models | 70.0 | 2.2 | 115 | 18 |
You know a U.S. man who is 78.1 inches tall.
- What is the z-score for his height with respect to other U.S. men? Round your answer to 2 decimal places.
- Would his height be considered unusual for a U.S. man? Why?
- Would his height be considered unusual with respect to NFL quarterbacks? Why?
1) z-score for his height with respect to other U.S. men=(X-mean)/standard deviation =(78.1-69.1)/2.9
=3.10
2)
Would his height be considered unusual for a U.S. man? :Yes ; since absolute value of z score is higher than 2 ; the score should be considered unusual with respect to other U.S. men
3)
z-score for his height with respect to NFL quarterbacks= (78.1-76.5)/1.8 =0.89
since absolute value of z score is less than 2 ; the score should not be considered unusual with respect to NFL quarterbacks
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