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
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?
Trending now
This is a popular solution!
Step by step
Solved in 3 steps
