Imagine a global pandemic has led to high rates of unemployment. A local community group will hold an online training during a weekday in the morning. The training helps those who attend to develop a resume and apply for jobs online. 127 people voluntarily participate in the training. Three months later, the community group is interested in seeing how their training may have changed the unemployment rate in the city. They conduct a city-wide survey asking questions on the following variables: A. Name B. Gender C. Did they attend the training session they held? D. Age E. Number of Children F. What is their current job status. Part A - Variables 1. Which of the variables above is quantitative? 2. The researcher is most interested in seeing how effective their program is in reducing unemployment in the city. Of the variables listed above, what would be the most appropriate explanatory variable? 3. The researcher is most interested in seeing how effective their program is in reducing unemployment in the city. Of the variables listed above, what would be the most appropriate response variable? 4. Describe one additional variable that the researcher might also want to collect when conducting their study and explain why. Part B - Design of Study 1. Is the design of this study a randomized experiment or observational study? Explain. 2. The study shows those that attended the training were more likely to find a job than those who did not attend the training. Explain why concluding a cause-and-effect relationship from this study is unwise. You need to write more than one sentence here. Here are some ideas that you can use to help you explain: - Suggest changes to the study that would allow a cause-effect relationship to be concluded. - Identify any lurking or confounding variables that may explain the observed link between attending the training and finding a job