Consider babies born in the “normal” range of 37–43 weeks gestational age as being full-term babies. A research paper (“Fetal Growth Parameters and Birth Weight: Their Relationship to Neonatal Body Composition,” Ultrasound in Obstetrics and Gynecology [2009]: 441–446) suggests that a normal distribution with mean µ = 3500 grams and standard deviation s = 600 grams is a reasonable model for the probability distribution of the continuous numerical variable x = birth weight of a randomly selected full-term baby. ANSWER these 3 subunits d. How would you characterize the most extreme 0.1% of all full-term
Consider babies born in the “normal”
babies. A research paper (“Fetal Growth Parameters and Birth Weight: Their Relationship to
Neonatal Body Composition,” Ultrasound in Obstetrics and Gynecology [2009]: 441–446)
suggests that a
grams is a reasonable model for the probability distribution of the continuous numerical
variable x = birth weight of a randomly selected full-term baby.
ANSWER these 3 subunits
d. How would you characterize the most extreme 0.1% of all full-term baby birth
weights? (Hint: The most extreme 0.1% weigh at least how many pounds?)
f. What is the probability that the birth weight of a randomly selected full-term baby
exceeds 7 pounds? (Hint: 1 pound = 453.59 grams.)
g. If x is a variable with a normal distribution and a is a numerical constant (a ≠ 0), then a
variable y = ax also has a normal distribution. Use this formula to determine the
distribution of full-term baby birth weight expressed in pounds (shape, mean, and
standard deviation), and then recalculate the probability from Part (f). How does this
compare to your previous answer?
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