Suppose you have data on "timing of childbirth" for a sample of new mothers at University of lowa Hospitals and Clinics For each woman, you record how many days before or after her "due date" she actually gave birth. For example, • If she gave birth on ber due date, she is coded as a0 If she gave birth 1 week before her due date, sbe is coded as a -7 • If she gave birth 3 days after her due date, she is coded as a+3 "Days before/after due date" are normally distributed with a mean of 0 and a standard deviation of 15 days. a. What percentage of births occurs between day 0 and 60 days afer the due date? b. Explain what the Z score mcans in the context of this problem. What does it tell us? c. Your friend has a big presentation at work 2 weeks before her projected due date. She can't bring her newborn to the presentation and is worried that the baby may be bom early. Should your friend re-schedule the meeting?

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Suppose you have data on "timing of childbirth" for a sample of new mothers at University of
lowa Hospitals and Clinics.
For each woman, you record how many days before or after her "due date" she actually gave
birth.
For example,
If she gave birth on ber due date, she is coded as a0
If she gave birth 1 week before her due date, sbe is coded as a-7
If she gave birth 3 days after her due date, she is coded as a +3
"Days before/after due date" are normally distributed with a mean of 0 and a standard deviation
of 15 days.
a. What percentage of births occurs between day 0 and 60 days after the due date?
b. Explain what the Z score means in the context of this problem. What does it tell us?
c. Your friend has a big presentation at work 2 weeks before her projected due date. She can't
bring ber newbom to the presentation and is worried that the baby may be born early.
Should your friend re-schedule the meeting?
That is, would a birth 14 days bcfore the due date or sooner be "unusual"? Show calculations
with an exact probability of this event occuring (this is what we are grading; not your
subjective advice).
Transcribed Image Text:Suppose you have data on "timing of childbirth" for a sample of new mothers at University of lowa Hospitals and Clinics. For each woman, you record how many days before or after her "due date" she actually gave birth. For example, If she gave birth on ber due date, she is coded as a0 If she gave birth 1 week before her due date, sbe is coded as a-7 If she gave birth 3 days after her due date, she is coded as a +3 "Days before/after due date" are normally distributed with a mean of 0 and a standard deviation of 15 days. a. What percentage of births occurs between day 0 and 60 days after the due date? b. Explain what the Z score means in the context of this problem. What does it tell us? c. Your friend has a big presentation at work 2 weeks before her projected due date. She can't bring ber newbom to the presentation and is worried that the baby may be born early. Should your friend re-schedule the meeting? That is, would a birth 14 days bcfore the due date or sooner be "unusual"? Show calculations with an exact probability of this event occuring (this is what we are grading; not your subjective advice).
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