First, we calculate the total number of participants, which is 42 + 28 + 15 + 32 = 117. Next, we create a conditional relative frequency table based on the number of pairs purchased, using the total in each category for the calculations.
Conditional Relative Frequency Table:
| Purchase Pairs | More than 2 pairs | Less than 2 pairs | Total | |------------------|-------------------|--------------------|-------| | Run more than 5 miles | 42/57 ≈ 0.74 | 28/57 ≈ 0.26 | 57 | | Run less than 5 miles | 15/47 ≈ 0.32 | 32/47 ≈ 0.68 | 47 | | Total | 57 | 47 | 117 |
From the table, 74% of participants who run more than 5 miles a week purchase more than 2 pairs of shoes, compared to only 32% of those who run less than 5 miles. This suggests a strong association between running more miles and purchasing more shoes. Therefore, as running distance increases, so does the likelihood of purchasing more running shoes.