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.
5 answers
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.
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.