Context https://www.statcrunch.com/app/index.php?dataid=35...  Clinical depression is a recurrent illness requiring treatment and often hospitalization. Nearly 50% of people who have an episode of major depression will have a recurrence within 2-3 years. Being able to prevent the recurrence of depression in people who are at risk for the disease would go a long way to alleviate the pain and suffering of patients. During the 1980s the federal government, through the National Institutes of Health (NIH), sponsored a large clinical trial to evaluate two drugs for depression. There were 3 treatment groups. Patients received either Imipramine (Imip), Lithium (Li), or a Placebo (Pl). Researchers randomly assigned patients to one of the 3 treatment groups and followed them for 2-4 years to track any recurrences of depression. (Prien et al., Archives of General Psychiatry, 1984). Variables Hospt: Which hospital the patient was from: Labeled 1, 2, 3, 5 or 6 Treat: 0=Lithium; 1=Imipramine; 2=Placebo Outcome: 0=Success 1=Failure (recurrence of depression) Time: Number of weeks until a recurrence (if outcome=1) or until the study ended (if outcome=0) AcuteT: How long the patient was depressed before the start of the current study, measured in days Age: Age in years Gender: 1=Female 2=Male Data If you have not already done so, open the depression data set in the Stats at Cuyamaca College group on StatCrunch (directions - opens in a new tab). Prompt We 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 identified Treat as the explanatory variable and Time 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 textbox, and be sure to include the Alt Text. To recall how to embed a picture into a textbox, 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 textbox.   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 your comparisons so the reader can understand the context 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

Required ResourcesRead/review the following resources for this activity:OpenStax Textbook: Chapter 2, 6, and 7LessonWeeks 3 and 5 Excel SpreadsheetsScenario/SummaryThis week's lab highlights the use of probability and normal distribution.Follow the directions below to gather data, calculate using Excel spreadsheets, and interpret the results.DeliverablesThe deliverable is a Word document with your answers to the questions posed below based on the data you find.Required SoftwareMicrosoft WordMicrosoft ExcelSteps to Complete Week 5 LabUse the Weeks 3 and 5 spreadsheets to help you answer the questions below.Step 1: Survey or measure 10 people to find their heights. Determine the mean and standard deviation for this group by using the Week 3 Excel spreadsheet. Post a screen shot of the portion of the spreadsheet that helped you determine these values. How does your height compare to the mean (average) height of the group that you surveyed? Is your height taller, shorter, or the same as the mean of your group?Data Example of 10 people with different heightsStep 2: Give some background information on the group of people you used in your study. You might consider using the following questions to guide your answer.How did you choose the participants for your study (sampling method)?What part of the country did your study take place in?What are the age ranges of your participants?How many of each gender did you have in your study?What are other interesting factors about your group?Step 3: Use the Week 5 Excel spreadsheet for the following.(Use the Empirical Rule tab from the spreadsheet). Determine the 68%, 95%, and 99.7% values of the Empirical Rule in terms of the ten heights in your height study.What do these values tell you?Post a screen shot of your work from the Week 5 Excel spreadsheet. Week 5 Spreadsheet Example(Use the normal probability tab from the spreadsheet). Based on your study results, what percent of the study participants are shorter than you? What percent are taller than you?Post a screen shot of your work from the Week 5 Excel spreadsheet.Example: If my height is 73 inches, then 20.86% of the relevant population is shorter. The other 79.14%, of course, is taller.Week 5 Spreadsheet ExampleStep 4: Be sure your name is on the Word document, save it, and then submit it under "Assignments" and "Week 5: Lab".GradingThis activity will be graded based on the Week 5 Lab Rubric.Course Outcomes (CO): 3, 4, 5CriteriaRatingsPtsThis criterion is linked to a Learning OutcomeMeasures of Central Tendency and Variation12.0 ptsAddresses all elements of the following: *10 height values *mean of data *standard deviation of data *screenshot of values calculated on spreadsheet *comparison of heights10.2 ptsAddresses 4 out of 5 of the following: *10 height values *mean of data *standard deviation of data *screenshot of values calculated on spreadsheet *comparison of heights8.4 ptsAddresses 3 out of 5 of the following: *10 height values *mean of data *standard deviation of data *screenshot of values calculated on spreadsheet *comparison of heights6.6 ptsAddresses 1 or 2 out of 5 of the following: *10 height values *mean of data *standard deviation of data *screenshot of values calculated on spreadsheet *comparison of heights0.0 ptsNo Effort12.0 ptsThis criterion is linked to a Learning OutcomePopulation Data and Sampling Techniques15.0 ptsAddresses all elements of the following: *Sampling method *Location *Age group of participants *Gender of participants *Other factors about participants12.75 ptsAddresses 4 out of 5 of the following: *Sampling method *Location *Age group of participants *Gender of participants *Other factors about participants10.5 ptsAddresses 3 out of 5 of the following: *Sampling method *Location *Age group of participants *Gender of participants *Other factors about participants8.25 ptsAddresses 1 or 2 out of 5 of the following: *Sampling method *Location *Age group of participants *Gender of participants *Other factors about participants0.0 ptsNo Effort15.0 ptsThis criterion is linked to a Learning OutcomeProbability, and Measures that would follow a normal distribution in life sciences15.0 ptsAddresses all elements of the following: *Empirical Rule values *Interpretation of Empirical Rule values *Screenshot of Empirical spreadsheet *Interpretation of Normal Distribution spreadsheet values *Screenshot of probabilities/ percentiles12.75 ptsAddresses 4 out of 5 of the following: *Empirical Rule values *Interpretation of Empirical Rule values *Screenshot of Empirical spreadsheet *Interpretation of Normal Distribution spreadsheet values *Screenshot of probabilities/ percentiles10.5 ptsAddresses 3 out of 5 of the following: *Empirical Rule values *Interpretation of Empirical Rule values *Screenshot of Empirical spreadsheet *Interpretation of Normal Distribution spreadsheet values *Screenshot of probabilities/ percentiles8.25 ptsAddresses 1 or 2 out of 5 of the following: *Empirical Rule values *Interpretation of Empirical Rule values *Screenshot of Empirical spreadsheet *Interpretation of Normal Distribution spreadsheet values *Screenshot of probabilities/ percentiles0.0 ptsNo Effort15.0 ptsThis criterion is linked to a Learning OutcomeGrammar and Formatting8.0 ptsLab is easy to read and presents material in a logical order with no grammatical errors.6.8 ptsLab is easy to read and presents material in a logical order. There are a few grammatical errors but they do not distract from readability.5.6 ptsLab is easy to read and has few grammatical errors, but it is not logically organized.4.4 ptsThere are significant grammatical errors and organizational issues that distract from readability.0.0 ptsNo Effort8.0 ptsTotal Points: 50.0

This assignment is a minimum of 300 words; with a minimum of 3 references. I have included all instructions and assigned reading below. Thank you.