NA company that manufactures car tires wants to compare breaking performance on dry and wet pavements for a brand of their tires. They selected a random sample of 10 sets of tires and put them on 10 cars. The stopping distance (ft) on dry pavement and wet pavement was recoded for each car. The results are summarized in the table below. Car 2. 3. 4 8 9. 10 Dry 152 148 135 130 134 133 128 136 136 157 Wet 202 220 194 146 182 172 201 180 192 204 Do the data provide enough evidence to conclude that the average breaking performance is lower on wet nayement for this tire brand? Use the rejection point method. Use a 0.05.

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Author:Amos Gilat
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RA company that manufactures car tires wants to compare breaking performance on dry and wet
pavements for a brand of their tires. They selected a random sample of 10 sets of tires and put them on 10 cars.
The stopping distance (ft) on dry pavement and wet pavement was recoded for each car. The results are
summarized in the table below.
Car
2.
4
8
9.
10
Dry
152
148
135
130
134
133
128
136
136
157
Wet
202
220
194
146
182
172
201
180
192
204
Do the data provide enough evidence to conclude that the average breaking performance is lower on wet
naYement for this tire brand? Use the rejection point method. Use a 0.05.
Transcribed Image Text:RA company that manufactures car tires wants to compare breaking performance on dry and wet pavements for a brand of their tires. They selected a random sample of 10 sets of tires and put them on 10 cars. The stopping distance (ft) on dry pavement and wet pavement was recoded for each car. The results are summarized in the table below. Car 2. 4 8 9. 10 Dry 152 148 135 130 134 133 128 136 136 157 Wet 202 220 194 146 182 172 201 180 192 204 Do the data provide enough evidence to conclude that the average breaking performance is lower on wet naYement for this tire brand? Use the rejection point method. Use a 0.05.
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