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Suppose that the BAC of male students at a particular college who drink 5 beers varies from student to student according to a normal distribution with mean 0.08 and standard deviation 0.01.
Draw a normal curve and answer the following question. The middle 95% of students who drink 5 beers have BAC between: 0.07 and 0.09 0.06 and 0.10 0.05 and 0.11 .04 and 0.12 Suppose that the BAC of male students at a particular college who drink 5 beers varies from student to student according to a normal distribution with mean 0.08 and standard deviation 0.01.
Draw a normal curve and answer the following question. What percent of students who drink 5 beers have BAC above 0.10 (the legal limit for driving in some states)? 2.5% 5% 16% 32% The mean is 80 and the standard deviation is 10. What is the standard score for an observation of 90? 90 0 10 1.0 A normal distribution always: is skewed to the right is skewed to the left is symmetric has more than one peak If your score on a test is at the 60th percentile, you know that your score lies: below the first quartile. between the first quartile and the median. between the median and the third quartile. Can't say where it lies relative to the quartiles. The equation of the regression line for son's height in inches y versus father's height in inches x is y = 0.5x + 35. For 72 inch tall fathers, what is the mean height of their sons? 69 inches 71 inches 72 inches 74 inches Perfect correlation means all of the following except r = -1 or r = +1. all points on the scatterplot lie on a straight line. all variation in one variable is explained by variation in the other variable. there is a causal relationship between the variables. A study of the effects of television measured how many hours of television each of 125 grade school children watched per week during a school year and their reading scores. Which variable would you put on the horizontal axis of a scatterplot of the data? Reading score, because it is the response variable. Reading score, because it is the explanatory variable. Hours of television, because it is the response variable. Hours of television, because it is the explanatory variable. A study gathers data on the outside temperature during the winter, in degrees Fahrenheit, and the amount of natural gas a household consumes, in cubic feet per day. Call the temperature x and gas consumption y. The house is heated with gas, so x helps explain y. The least-squares regression line for predicting y from x is y = 1344 - 19x. On a day when the temperature is 20 degree F, the regression line predicts that gas used will be about: 1724 cubic feet 1383 cubic feet 1325 cubic feet 964 cubic feet A study gathers data on the outside temperature during the winter, in degrees Fahrenheit, and the amount of natural gas a household consumes, in cubic feet per day. Call the temperature x and gas consumption y. The house is heated with gas, so x helps explain y. The least-squares regression line for predicting y from x is y = 1344 - 19x. When the temperature goes up 1 degree, what happens to the gas usage predicted by the regression line? It goes up 1 cubic foot It goes down 1 cubic foot It goes up 19 cubic feet It goes down 19 cubic feet |