A sample of residents is surveyed to determine the number of kilometers travelled per week for reasons not related to work. A year later, following a large increase in gasoline prices, the same individuals are surveyed a second time to monitor changes in their discretionary travel behaviour. Use a parametric test for this analysis.
Individual | km’s (before) | km’s (after) |
1 | 102 | 104 |
2 | 98 | 90 |
3 | 225 | 200 |
4 | 119 | 75 |
5 | 77 | 80 |
6 | 131 | 94 |
7 | 115 | 129 |
8 | 105 | 84 |
9 | 180 | 144 |
10 | 132 |
Is there evidence for the impact of rising gasoline prices on the amount of discretionary travel? Be sure to use the six formal steps of hypothesis testing and use an α-value of 0.01.
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