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Lecture 5

STATS 10 Lecture Notes - Lecture 5: Birth Weight, Histogram, Standard Deviation


Department
Statistics
Course Code
STATS 10
Professor
Zanontian, L.A.
Lecture
5

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Stephanie Sanchez
Stats 10 Lec 4 Sec A
904652912
Assignment: Lab 5 - Compared to What?
TA Name: Min, S.
Question 1: Using visual and numerical summaries, describe the differences between the
distributions of weights for babies born to smokers vs. non-smokers in the actual data. If a
physician told you that a mother’s smoking affected the birth of her baby, (a) how much,
typically, would you say the mother’s smoking changes a baby’s weight at birth?
a) We could say that smoking mothers’ babies have a lower birth weight by just looking at
the medians of the table and graph of the actual data. As a result, we can say that
babies of smoking mothers weigh 6 ounces less than babies of nonsmoking mothers.
Question 2: We will work with a chance model that assumes that smoking has NO effect on the
babies’ weights. Under this model, simulate a set of data and calculate the difference in median
birth weights between the smoking and non-smoking groups. Repeat this 100times. According
to the output of your chance model (your 100 simulations), (a) what would you estimate is the
typical difference in medians between the two groups? (b) What would you consider to be an
unusually large difference, according to the chance model?
a) We can estimate the typical difference in medians between the two groups to be 0,
according to the output of the chance model
b) It would be unusual to see a difference over 2 standard deviations, such as 6, according
to the chance model.
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