To analyze the association between weekly running miles and annual shoe purchases, we can create a conditional relative frequency table based on the provided data. First, we find the total number of runners: 42 + 28 + 15 + 32 = 117. Next, we calculate the relative frequencies based on each category.
Conditional Relative Frequency Table:
| | Purchase > 2 pairs | Purchase < 2 pairs | Row Total | |---------------------|---------------------|---------------------|-----------| | Run > 5 miles/week | 42 / 117 = 0.36 | 28 / 117 = 0.24 | 70 / 117 = 0.60 | | Run < 5 miles/week | 15 / 117 = 0.13 | 32 / 117 = 0.27 | 47 / 117 = 0.40 | | Column Total | 57 / 117 = 0.49 | 60 / 117 = 0.51 | 117 |
This table indicates that a higher proportion of runners who run more than 5 miles a week (36%) purchase more than 2 pairs of shoes compared to those who run less than 5 miles a week (13%). Conversely, a greater percentage of runners who run less than 5 miles a week (27%) purchase less than 2 pairs of shoes compared to those who run more than 5 miles (24%). Thus, there appears to be an association between running distance and shoe purchases, suggesting that more dedicated runners tend to buy more shoes.