The graph below shows the relationship between maternal age and the incidence of children born with Down Syndrome (a condition t
hat results in an individual having an extra chromosome 21). What conclusion is best supported by the data?
1 Point
A.
There is no risk of Down Syndrome in children born to mothers under age 34.
B.
The risk of Down Syndrome increases dramatically in children born to mothers after age 34.
C.
The risk of Down Syndrome doubles in children born to mothers for each year over the age of 34.
D.
There is no correlation between the number of Down Syndrome births and age.
1 Point
A.
There is no risk of Down Syndrome in children born to mothers under age 34.
B.
The risk of Down Syndrome increases dramatically in children born to mothers after age 34.
C.
The risk of Down Syndrome doubles in children born to mothers for each year over the age of 34.
D.
There is no correlation between the number of Down Syndrome births and age.
2 answers:
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Answer:
Yes
Explanation:
Range rule of thumb predicts the Range to be a multiple of 4 of the standard deviation or to be four times the standard deviation. Making the usual values equal to 2 standard deviations distanct of the mean of the data distribution.
In a given distribution with mean and standard deviation that is obtained, the usual values in mean (as seen in the attached image).
2*standard deviation and mean + 2*standard deviation.
If the data point is not up to the mean
- 2* standard deviation is taken to be significantly low.
If the data point is more than the mean
+ 2*standard deviation is taken to be significantly high.
Let's take the xbar to be the mean and s as standard deviaiton
Given,
mean, xbar = 1116.2
standard deviation, s =127.7
The range rule of thumb shows that the usual values are within 2 standard deviations from the mean
Lower boundary
= xbar - 2s
= 1116.2 - 2(127.7)
= 860.8
Upper boundary
= xbar + 2s
= 1116.2 + 2(127.7)
= 1371.6
We should note that 1411.6 is not between 860.8 and 1371.6, which connotes that 1411.6cm^3 is unusually high.
