make this shorter and less technical
To determine if there is an association between the number of miles a runner runs per week and the number of pairs of running shoes they purchase per year, we can create a conditional relative frequency table. First, calculate the total number of runners who purchase more than 2 pairs per year (42 + 28 = 70) and the total number of runners who purchase 2 pairs or less per year (15 + 32 = 47). Then, calculate the total number of runners who run more than 5 miles per week (42 + 15 = 57) and the total number of runners who run less than 5 miles per week (28 + 32 = 60). Finally, create the conditional relative frequency table by dividing the frequency of each category by its corresponding total. By analyzing the data in the conditional relative frequency table, we can determine if there is an association between the two variables.
We can examine the relationship between how much a runner runs each week and how many pairs of shoes they buy annually by creating a simple table. This will help us see if there is a connection between the two factors.
make this less technical
To determine if there is an association between the number of miles a runner runs per week and the number of pairs of running shoes they purchase per year, we can create a conditional relative frequency table.
First, calculate the total number of runners who purchase more than 2 pairs per year (42 + 28 = 70) and the total number of runners who purchase 2 pairs or less per year (15 + 32 = 47).
Then, calculate the total number of runners who run more than 5 miles per week (42 + 15 = 57) and the total number of runners who run less than 5 miles per week (28 + 32 = 60).
Finally, create the conditional relative frequency table by dividing the frequency of each category by its corresponding total.
By analyzing the data in the conditional relative frequency table, we can determine if there is an association between the two variables.
We can check if there's a link between how much a runner runs and how many pairs of shoes they buy by making a simple table. This will help us see if these factors are related.
make this 125 words
To determine if there is an association between the number of miles a runner runs per week and the number of pairs of running shoes they purchase per year, we can create a conditional relative frequency table.
First, calculate the total number of runners who purchase more than 2 pairs per year (42 + 28 = 70) and the total number of runners who purchase 2 pairs or less per year (15 + 32 = 47).
Then, calculate the total number of runners who run more than 5 miles per week (42 + 15 = 57) and the total number of runners who run less than 5 miles per week (28 + 32 = 60).
Finally, create the conditional relative frequency table by dividing the frequency of each category by its corresponding total.
By analyzing the data in the conditional relative frequency table, we can determine if there is an association between the two variables.