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Unformatted text preview: 1 A23 B2 E24 A3 A25 A4 B5 E6 C7 A8 B9 A10 D11 A12 C13 E14 B15 C16 A17 D18 D19 B20 A21 A22 C(1)How well does the number of beers a student drinks predict his or her blood alcohol content? Twenty five student volunteers at a Midwestern University drank a randomly assigned number of bottles of beer during a period of time. Thirty minutes later, their blood alcohol content was measured. A scatterplot of the data appears below. The next five questions concern this data. If a student drank 8 beers, the prediction of BAC from the scatterplot would be aboutA0.17B9 C19D0.05(2)How well does the number of beers a student drinks predict his or her blood alcohol content? Twenty five student volunteers at a Midwestern University drank a randomly assigned number of bottles of beer during a period of time. Thirty minutes later, their blood alcohol content was measured. A scatterplot of the data appears below. The next five questions concern this data. A plausible value of the correlation between number of beers and blood alcohol content, based on the scatterplot, isAr = 0.9 Br = 0.3 Cr close to 0 Dr = 0.3 Er = 0.9(3)How well does the number of beers a student drinks predict his or her blood alcohol content? Twenty five student volunteers at a Midwestern University drank a randomly assigned number of bottles of beer during a period of time. Thirty minutes later, their blood alcohol content was measured. A scatterplot of the data appears below. The next five questions concern this data. The leastsquares regression line for predicting blood alcohol content from number of beers is y = 0.019x. + .003. The slope 0.019 of this line tells us thatAthe correlation between number of beers and BAC is 0.019Bon the average, BAC increases by 0.019 for each additional beer a student drinksCa student who drinks no beer will still have a BAC of 0.019Dthe average BAC of all the students in the study was 0.019(4)This question deals with this situation. The length of pregnancy for polar bears follows a normal distribution with a mean of 220 days and standard deviation of 10 days. We can say that 90% of the pregnancies will take at least how long ?...
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This note was uploaded on 04/18/2008 for the course STAT 113 taught by Professor Deely during the Spring '08 term at Purdue UniversityWest Lafayette.
 Spring '08
 Deely

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