To create a conditional relative frequency table, we first need to calculate the total number of people in each running category. The total for those who run more than 5 miles a week is 70, and for those who run less than 5 miles a week, it is 47. Each category is as follows:
- People running more than 5 miles and purchasing more than 2 pairs: 42
- People running more than 5 miles and purchasing less than 2 pairs: 28
- People running less than 5 miles and purchasing more than 2 pairs: 15
- People running less than 5 miles and purchasing less than 2 pairs: 32
Conditional Relative Frequency Table:
| Miles/ Shoes | More than 2 pairs | Less than 2 pairs | Total | |-------------------------------|-------------------|-------------------|-------| | More than 5 miles | 42 (60%) | 28 (40%) | 70 | | Less than 5 miles | 15 (32%) | 32 (68%) | 47 |
Totals:
- More than 2 pairs: 57 (42 + 15)
- Less than 2 pairs: 60 (28 + 32)
From this table, the frequency of runners purchasing more than 2 pairs of shoes is higher among those running more than 5 miles per week (60%). This indicates that there is a positive association between running more miles and purchasing more running shoes. Therefore, as running distance increases, so does the likelihood of buying additional pairs of shoes.