5. Does the distribution of birth weight for the babies born to smokers
appear to be similar in shape to the distribution for non-smokers?
Explain.
Numerical Summaries
When the data look roughly normal, the mean and SD provide reasonable
summaries of the distribution. The mean provides the center of the
distribution, and the SD denotes the spread, i.e. roughly how far from
the center you might expect a baby's birth weight to be.
If the data do not appear to be normally distributed then
quantiles offer a more appropriate summary of the data.
6. The birth weights of all the babies fall roughly between
and
7. Compare the center of the two birth weight distributions.
8. Compare the spread of the two distributions.
Low-Birthweight Babies
Babies born that weigh under 5.5 pounds, or 88 ounces,
are termed low birth-weight.
9. What percentage of babies born to smokers are low birth-weight?
What percentage of babies born to non-smokers are low birth-weight?
10. In 2001, about 4 million babies were born in the United States.
Roughly 15% of the mothers of these babies smoked during their pregnancies.
Assume the rate of low birthweight babies is that found in question 9
for smokers and nonsmokers.
How would the number of low birthweight babies born in 2001 change, if all
pregnancies had the rate of the nonsmokers.
11. Are the differences you found in your analysis important?
That is, are these low birth weight babies less healthy?
Support your answer with at least two quotes from the
background material found on pages 3-7 in the Stat Labs book.