In: Statistics and Probability
Consider babies born in the "normal" range of 37–43 weeks gestational age. A paper suggests that a normal distribution with mean μ = 3500 grams and standard deviation σ = 619 grams is a reasonable model for the probability distribution of the continuous numerical variable x = birth weight of a randomly selected full-term baby.
a. What is the probability that the birth weight of a randomly selected full-term baby is either less than 2000 g or greater than 5000 g? (Round your answer to four decimal places.)
b How would you characterize the most extreme 0.1% of all full-term baby birth weights? (Round your answers to the nearest whole number.) The most extreme 0.1% of birth weights consist of those greater than ____ grams and those less than ____ grams.
c. If x is a random variable with a normal distribution and a is a numerical constant (a ≠ 0), then 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 0.700. (Round your answer to four decimal places.)
a)
µ = 3500
σ = 619
P( X ≤ 2000 ) = P( (X-µ)/σ ≤ (2000-3500)
/619)
=P(Z ≤ -2.423 ) =
0.0077
µ = 3500
σ = 619
P ( X ≥ 5000.00 ) = P( (X-µ)/σ ≥
(5000-3500) / 619)
= P(Z ≥ 2.423 ) = P( Z <
-2.423 ) = 0.0077
0.0077 + 0.0077 = 0.0154
b)
0.1% extreme cases means .05% on both side of the chart
µ= 3500
σ = 619
proportion= 0.0005
Z value at 0.0005 =
-3.29 (excel formula =NORMSINV(
0.0005 ) )
z=(x-µ)/σ
so, X=zσ+µ= -3.29 *
619 + 3500
X = 1463
µ= 3500
σ = 619
proportion= 0.9995
Z value at 0.9995 =
3.29 (excel formula =NORMSINV(
0.9995 ) )
z=(x-µ)/σ
so, X=zσ+µ= 3.29 *
619 + 3500
X = 5537
lesser than 1463 and greater than 5537
c)
Shape = Normal distribution
Multiply by constant a will multiply mean and S.D by a constant too.
Mean = 3500 * 0.2205 = 771.75 Pound
S.D = 619 * 0.2205 = 136.4895 Pound
Please revert back in case of any doubt.
Please upvote. Thanks in advance.