Answer:
a) 5.16% of pregnancies last less than 240 days.
b) 54.71% of pregnancies last between 240 days and 270 days.
c) The longest 20% of pregnancies last at least 279.44 days.
Explanation:
Problems of normally distributed samples can be solved using the z-score formula.
In a set with mean
and standard deviation
, the zscore of a measure X is given by:
The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.
In this problem, we have that:
a. What percent of pregnancies last less than 240 days?
This is the pvalue of Z when X = 240. So:
has a pvalue of 0.0516.
So 5.16% of pregnancies last less than 240 days.
b. What percent of pregnancies last between 240 days and 270 days?
This is the pvalue of Z when X = 270 subtracted by the pvalue of Z when X = 240.
X = 270
has a pvalue of 0.5987.
X = 240
From a., has a pvalue of 0.0516.
So 0.5987 - 0.0516 = 0.5471 = 54.71% of pregnancies last between 240 days and 270 days.
c. How long do the longest 20% of pregnancies last?
This is the value of Z when X has a pvalue of 1-0.2 = 0.8.
So it is X when Z = 0.84.
The longest 20% of pregnancies last at least 279.44 days.