The question is: Is there a significant When creating crosstabulations it is relationship between woman's age and standard practice to use the dependent ng ever nad a variable as the rows and the independent variable as the columns We can create a crosstabulation with three variables. For example, we may want to see the age distribution for WCEB for urban and rural area separately. This is shown in the following table Please examine this question by your own after class. I will discuss some other examples Rural and urban age distribution for Example 1: Treating cocaine WCEB addiction This is a three-year study on medication to help cocaine addicts stay off cocaine: D, L, and P. Each treatment was randomly assigned with 24 subjects The counts and proportions who avoided relapse into caine use during the study5 9 • When creating crosstabulations it is standard practice to use the dependent variable as the rows and the independent variable as the columns. • We can create a crosstabulation with three variables. For example, we may want to see the age distribution for WCEB for urban and rural area separately. This is shown in the following table. 10 Rural and urban age distribution for WCEB 5-year age group * whether have any child * place of residence Crosstabulation % within whether have any child 57.3% .1% 10.7% 33.9% 8.4% 13.2% 5.0% 22.9% 19.6% 1.4% 22.8% 18.8% 1.4% 12.9% 10.8% .3% 17.9% 14.6% .8% 15.0% 12.3% 100.0% 100.0% 100.0% 37.4% 8.9% 41.5% 3.3% 12.4% 15.6% 19.3% 18.4% 1.9% 21.1% 16.5% 1.1% 19.9% 15.4% 1.5% 19.1% 14.9% 1.1% 17.3% 13.5% 100.0% 100.0% 100.0% 15-19 20-24 25-29 30-34 35-39 40-44 45-49 5-year age group Total 15-19 20-24 25-29 30-34 35-39 40-44 45-49 5-year age group Total place of residence rural urban no yes whether have any child Total 5-year age group * whether have any child * place of residence Crosstabulation % within 5-year age group 99.5% .5% 100.0% 48.0% 52.0% 100.0% 4.8% 95.2% 100.0% 1.4% 98.6% 100.0% 2.4% 97.6% 100.0% .4% 99.6% 100.0% 1.3% 98.7% 100.0% 18.7% 81.3% 100.0% 100.0% 100.0% 79.4% 20.6% 100.0% 20.1% 79.9% 100.0% 2.7% 97.3% 100.0% 1.7% 98.3% 100.0% 2.4% 97.6% 100.0% 2.0% 98.0% 100.0% 23.8% 76.2% 100.0% 15-19 20-24 25-29 30-34 35-39 40-44 45-49 5-year age group Total 15-19 20-24 25-29 30-34 35-39 40-44 45-49 5-year age group Total place of residence rural urban no yes whether have any child Total 6 11 • The question is: Is there a significant relationship between woman’s age and having ever had a child? 5-year age group 15-19 20-24 25-29 30-34 35-39 40-44 45-49 Mean whether have any child 1.2 1.0 .8 .6 .4 .2 0.0 age 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 47 49 Mean whether have any child 1.2 1.0 .8 .6 .4 .2 0.0 Please examine this question by your own after class. I will discuss some other examples. 12 Example 1: Treating cocaine addiction • This is a three-year study on medication to help cocaine addicts stay off cocaine: D, L, and P. Each treatment was randomly assigned with 24 subjects. The counts and proportions who avoided relapse into cocaine use during the study: