To analyze the association between the number of miles run per week and the number of pairs of running shoes purchased per year, we first create a conditional relative frequency table by calculating the relative frequencies based on the rows (running miles) and the columns (shoe purchases).
Step 1: Calculate the totals.
- For runners who run more than 5 miles per week: 70 total
- For runners who run less than 5 miles per week: 47 total
Step 2: Calculate the relative frequencies (by row).
For runners who run more than 5 miles per week:
- Relative frequency of purchasing more than 2 pairs: \( \frac{42}{70} = 0.60 \)
- Relative frequency of purchasing 2 pairs or less: \( \frac{28}{70} = 0.40 \)
For runners who run less than 5 miles per week:
- Relative frequency of purchasing more than 2 pairs: \( \frac{15}{47} \approx 0.32 \)
- Relative frequency of purchasing 2 pairs or less: \( \frac{32}{47} \approx 0.68 \)
Conditional Relative Frequency Table:
| Running Miles per Week | Purchases More than 2 Pairs | Purchases 2 Pairs or Less | Total | |----------------------------------|------------------------------|---------------------------|-------| | More than 5 | 0.60 | 0.40 | 1.00 | | Less than 5 | 0.32 | 0.68 | 1.00 |
Step 3: Analyze the data.
From the relative frequencies, we observe that a higher proportion (60%) of runners who run more than 5 miles per week purchase more than 2 pairs of shoes, compared to only 32% of those who run less than 5 miles per week. This suggests a notable association: runners who log more miles are likely to invest in more pairs of running shoes than those who run fewer miles.
Thus, we can conclude there is an association between the number of miles run per week and the number of pairs of shoes purchased per year, as the data indicates that more dedicated runners tend to buy more athletic footwear.