LOOKING FOR DIFFERENCES BETWEEN GROUPS Juanita has been listening to what other researchers are doing with their project. She's bothered by the variable sex. "Why are there so few options for sex? Shouldn't we reflect the multiple options that exist?" "The General Social Survey has been around for a long time, it measures sex as biological sex at birth rather than asking about gender," Duante says. "As researchers, we have options to choose research questions that reflect what we want to learn. Based on that question, we decide what data we use or collect to answer the question." "So, if what I want to research requires a close look at gender, I could look for other sources of data?" Juanita asks. "Correct. For this project, like all archival data research, we use data collected by others and cannot control the questions. We go in knowing that the questions might not ask our ideal question or reflect changes in understanding of certain variables. We can note this in our final research report and discuss the implications. Best practice is to create our hypothesis such that the data we have is perfectly suited to the hypothesis." After thinking about the data they do have, Juanita wonders of there is a relationship between sex and the number of hours spent on the internet. Duante offers to run a t-test, using sex to create two independent groups (as the respondents answered either Male or Femalecreating two separate groups). Directions: Create the hypotheses and run the t-test using the Wwwhr and Happy CSV file. Scoring Criterion: Perform a t-test on the variables sex and wwwhr