Noonan syndrome is a genetic condition that can affect the heart, growth, blood clotting, and mental and physical development. Noonan et al. examined the stature of men and woman with Noonan syndrome. The study contained 29 male and 44 female adults. One of the cut-off values used to assess stature was the third percentile of adult height. Eleven of the males fell below the third percentile of adult height, while 24 of the females fell below the third percentile of female adult height. Does this study provide sufficient evidence for us to conclude that among subjects with Noonan syndrome, females are more likely than males to fall below the respective third percentile of adult height? Hint: Use the pooled proportions z-test with a = 0.05.

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Noonan syndrome is a genetic condition that can affect the heart, growth, blood clotting, and
mental and physical development. Noonan et al. examined the stature of men and woman with
Noonan syndrome. The study contained 29 male and 44 female adults. One of the cut-off values
used to assess stature was the third percentile of adult height. Eleven of the males fell below the
third percentile of adult height, while 24 of the females fell below the third percentile of female
adult height. Does this study provide sufficient evidence for us to conclude that among subjects
with Noonan syndrome, females are more likely than males to fall below the respective third
percentile of adult height? Hint: Use the pooled proportions z-test with a = 0.05.
Transcribed Image Text:Noonan syndrome is a genetic condition that can affect the heart, growth, blood clotting, and mental and physical development. Noonan et al. examined the stature of men and woman with Noonan syndrome. The study contained 29 male and 44 female adults. One of the cut-off values used to assess stature was the third percentile of adult height. Eleven of the males fell below the third percentile of adult height, while 24 of the females fell below the third percentile of female adult height. Does this study provide sufficient evidence for us to conclude that among subjects with Noonan syndrome, females are more likely than males to fall below the respective third percentile of adult height? Hint: Use the pooled proportions z-test with a = 0.05.
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