Details:A between-group one-way analysis of variance (ANOVA) compares the mean values of more than two groups. In this assignment, you will review the SPSS output for an ANOVA and use it to answer questions about the means of the groups.General Requirements: Use the following information to ensure successful completion of the assignment:Review "SPSS Access Instructions" for information on how to access SPSS for this assignment.Download “SPSS Data Set Legend" for use with this assignment.Download "Module 5 SPSS Output" for use with this assignment.Directions:Review the SPSS output file, which reports the results of the between-group (independent group) one-way ANOVA to see if the mean alcohol by volume (%) of the beer differs as a function of quality of the brand as rated by a beer expert (in 2012). Answer the following questions based on your observations of the SPSS output file:Looking at the descriptives (first information), do you see differences in the mean alcohol contents for the three levels of quality? Explain.Looking at the Test for Homogeneity of Variances (Levene Statistic), is it reasonable to proceed with the ANOVA? Is the assumption met, or violated? How do you know?Looking at the results of the ANOVA, is there a significant difference in the mean alcohol content for beers in the three quality groups? How do you know? Write the results in the following format: F(df value) = ___, p value = ______.The pairwise post hoc tests indicate which quality groups' means are statistically significantly different for the others. Using the results of the Tukey HSD post hoc test, what two quality rating groups had significantly different mean alcohol by volume levels? How do you know?Please complete the assignment as required and please use the appropriate references , if applicable, and cite in APA 6th edition format. Please see the attached documentation for completion of assignment.

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 with your initial post.  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. 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? This is the side by side that I have made in question Summary statistics for AcuteT: Group by: Treat   Treat n Mean Variance Std. dev. Std. err. Median Range Min Max Q1 Q3     0 37 172.62162 6446.7973 80.29195 13.199915 173 393 48 441 114 211   1 38 183.65789 6782.1771 82.353974 13.359579 166.5 381 47 428 131 212   2 34 202.11765 10590.168 102.90854 17.648669 163.5 442 70 512 140 246