1. Make graphs and tables.

a. Use StatCrunch to produce side-by-side boxplots. (directions)Embed your graphs with your initial post.

b. Use StatCrunch to produce the descriptive statistics (a table containing the 5-number summaries for each comparison group). (directions) Copy and paste the StatCrunch output table into your initial post.

1. Analyzethe 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 context of the numbers. For example, don't just saythe median is 30; instead, say something like this:on average patients taking the placebo relapsed in 30 days (Q2=30 days).
2. Draw a conclusion: What can we conclude from your analysis? Did one drug successfully delay relapse of depression better than the others? What evidence supports your conclusion?
3. Summarize your conclusions in response to both research questions: In this lab, you compared three treatments using two different variables: (Parts 1 & 2) whether or not relapse into depression occurred and (Parts 3 & 4) if a relapse occurred, the time it took to occur. What can you conclude in light of both analyses? Is one treatment better than the other? How does the data support your conclusion?

Options X Summary statistics for AcuteT: Group by: Treat Treat + Mean + Variance + Std. dev. + Std. err. + Median + Range + Min + Max + Q1 + Q3+ Imipramine 38 183.65789 6782.1771 82.353974 13.359579 166.5 381 47 428 131 212 Lithium 37 172.62162 6446.7973 80.29195 13.199915 173 393 48 441 114 211 Placebo 34 202.11765 10590.168 102.90854 17.648669 163.5 442 70 512 140 246Options X AcuteT 500 . 400 . 300 - . 200 100 Imipramine Lithium Placebo Treat