QuestionPromptWe will analyze the data to answer the second research question: Which of the drugs (if either)delayed the recurrence of depression longer relative to the placebo?In the previous lab-preparation activity, we identifiedTreat as the explanatory variable andTime as the response variable. We also determined that we will analyze the data using side-by-side boxplots and descriptive statistics (i.e. 5-number summaries since the graphs are boxplots).Make graphs and tables.Use StatCrunch to produce side-by-side boxplots. (directions)Embed your graphs into the box, and be sure to include the Alt . To recall how to embed a picture into a box, see the StatCrunch directions below.Use StatCrunch to produce the descriptive statistics (a single table containing the 5-number summaries for each comparison group). (directions)Copy and paste the StatCrunch output table into the box.Analyze the data: Compare the distributions for the treatment groups as demonstrated in Unit 2. For example, compare medians and intervals of typical values. Describe the shape and any outliers. Be sure to write comparisons so the reader can understand the con of the numbers. For example, don’t just say the median is 30; instead, say something like this: on average patients taking the placebo relapsed in 30 days (Q2=30 days).Draw a conclusion : What can we conclude from your analysis? Did one drug successfully delay a relapse of depression better than the others? What evidence supports your conclusion?Summarize your conclusions in response to both research questions: In this lab you compared three treatments (two drugs and the placebo) using two different variables. In Part 1 you compared whether or not a relapse into depression occurred for each of the two drugs and the placebo. In Part 2 you compared the length of time until the next relapse for the two drugs and the placebo. What can you conclude in light of both analyses? Is one treatment better than the other? How does the data support your conclusion?MathStatistics and Probability MATH 160
