Intro Stats - Study Card
Intro Stats - Study Card
4th Edition
ISBN: 9780321826268
Author: DeVeaux
Publisher: PEARSON
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Chapter 1, Problem 32E

(Exercises 27–40) For each description of data, identify the W’s, name the variables, specify for each variable whether its use indicates that it should be treated as categorical or quantitative, and, for any quantitative variable, identify the units in which it was measured (or note that they were not provided).

38. Walking in circles People who get lost in the desert, mountains, or woods often seem to wander in circles rather than walk in straight lines. To see whether people naturally walk in circles in the absence of visual clues, researcher Andrea Axtell tested 32 people on a football field. One at a time, they stood at the center of one goal line, were blindfolded, and then tried to walk to the other goal line. She recorded each individual’s sex, height, handedness, the number of yards each was able to walk before going out of bounds, and whether each wandered off course to the left or the right. No one made it all the way to the far end of the field without crossing one of the sidelines. (Source: STATS No. 39, Winter 2004)

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Cellulon, a manufacturer of home insulation, wants to develop guidelines for builders and consumers on how the thickness of the insulation in the attic of a home and the outdoor temperature affect natural gas consumption. In the laboratory, it varied the insulation thickness and temperature. A few of the findings are: Monthly Natural Gas Consumption (cubic feet), Y Thickness of Insulation (inches), X1 Outdoor Temperature (°F), X2 30.3 6 40 26.9 12 40 22.1 8 49 How much natural gas can homeowners expect to use per month if they install 6 inches of insulation and the outdoor temperature is 40 degrees F? Group of answer choices 36.69 cubic feet 30.30 cubic feet 30.89 cubic feet 33.69 cubic feet
A fisherman has collected data about the length in inches, L, and weight in ounces, w, of fish he has caught. Use the data in the table below to construct an equation for the line of best fit to predict weight from length. Round to three decimal places. L 15 17 18 18 19 21 22 23 W 22 36 35 40 43 52 57 69 L=0.181+11.127w w=5.342−57.907L L=11.127+0.181w w=−57.907+5.342L
Determine the best (according to sum-of-squares-measure) curve y = Axb, through the data above. Transformed equation ln(y) = ln(A) + b ln(x) or Y = a + bX.

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Intro Stats - Study Card

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