16. Braking Distance An automotive researcher wanted to estimate the difference in distance required to come to a complete stop while traveling 40 miles per hour on wet versus dry pavement. Because car type plays a role, the researcher used eight different cars with the same driver and tires. The braking distance (in feet) on both wet and dry pavement is shown in the table below. Construct a 95% confidence interval for the mean difference in braking distance on wet versus dry pavement where the differences are computed as "wet minus dry." Interpret the interval. Note: A normal probability plot and boxplot of the data indicate that the differences are approximately normally distributed with no outliers. Car 3 - 4 6. 8. Wet 106.9 100.9 108.8 111.8 105.0 105.6 110.6 107.9 Dry 71.8 68.8 74.1 73.4 75.9 75.2 75.7 81.0

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
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Chapter10: Statistics
Section10.3: Measures Of Spread
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Question 16 

16. Braking Distance An automotive researcher wanted to
estimate the difference in distance required to come to a
complete stop while traveling 40 miles per hour on wet versus
dry pavement. Because car type plays a role, the researcher used
eight different cars with the same driver and tires. The braking
distance (in feet) on both wet and dry pavement is shown in the
table below. Construct a 95% confidence interval for the mean
difference in braking distance on wet versus dry pavement where
the differences are computed as "wet minus dry." Interpret the
interval. Note: A normal probability plot and boxplot of the
data indicate that the differences are approximately normally
distributed with no outliers.
Car
3 - 4
6.
8.
Wet
106.9
100.9
108.8
111.8 105.0 105.6
110.6
107.9
Dry
71.8
68.8
74.1
73.4 75.9 75.2
75.7
81.0
Transcribed Image Text:16. Braking Distance An automotive researcher wanted to estimate the difference in distance required to come to a complete stop while traveling 40 miles per hour on wet versus dry pavement. Because car type plays a role, the researcher used eight different cars with the same driver and tires. The braking distance (in feet) on both wet and dry pavement is shown in the table below. Construct a 95% confidence interval for the mean difference in braking distance on wet versus dry pavement where the differences are computed as "wet minus dry." Interpret the interval. Note: A normal probability plot and boxplot of the data indicate that the differences are approximately normally distributed with no outliers. Car 3 - 4 6. 8. Wet 106.9 100.9 108.8 111.8 105.0 105.6 110.6 107.9 Dry 71.8 68.8 74.1 73.4 75.9 75.2 75.7 81.0
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