Lengths of pregnancies of women are normally distributed with a mean of 266 days and a standard deviation of 16 days.What percentage to the nearest hundredth of children are born from pregnancies lasting more than 274 days? What percentage to the nearest hundredth of children are born from pregnancies lasting less than 246 days? Lengths of pregnancies of women are normally distributed with amean of 266 days and a standard deviation of 16 days.What percentage to the nearest hundredth of children are bornfrom pregnancies lasting more than 274 days?0.5What percentage to the nearest hundredth of children are bornfrom pregnancies lasting less than 246 days? -1.25Answer 1:0.5Answer 2:-1.25

Given that The mean μ=266 days The standard deviation σ=16 days Let x be the lengths of pregnancies…

Answered: Lengths of pregnancies of women are…

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

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Lengths of pregnancies of women are normally distributed with a mean of 266 days and a standard deviation of 16 days.

What percentage to the nearest hundredth of children are born from pregnancies lasting more than 274 days?

What percentage to the nearest hundredth of children are born from pregnancies lasting less than 246 days?

Lengths of pregnancies of women are normally distributed with a
mean of 266 days and a standard deviation of 16 days.
What percentage to the nearest hundredth of children are born
from pregnancies lasting more than 274 days?
0.5
What percentage to the nearest hundredth of children are born
from pregnancies lasting less than 246 days? -1.25
Answer 1:
0.5
Answer 2:
-1.25

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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