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Unformatted text preview: smokers, and did not manipulate any variable. No because the difference could be caused by lurking or confounding variables. Summary Questions The question being answered is whether the difference seen in birth weights between smokers and nonsmokers, can be attributed to smoking or random variance. The observational study took the birth weights of 999 babies from both smoking mothers and nonsmoking mothers. I analyzed this data by visually displaying the weights of the babies on a bar graph. From the bar graph I calculated the mean and median for both smoking and non smoking mothers. Ultimately I concluded that there was a .25 difference between non smoking and smoking mother birth weights. I concluded that this was statistically significant because of the rarity that such discrepancies occurred. This can be useful in the real world to mothers carrying a child....
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 Spring '11
 Gould
 Standard Deviation

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