- This paragraph(s) describes where the data came from (This is likely from an internal database), the steps that you took to explore the data and if the data is appropriate for conducting an ANOVA (You may break this into multiple paragraphs if needed). Where is the data from? How did you filter the data? Examine the assumptions in the instructions and determine the tables and plots that are needed and state if each appears to be met. Are the dependent and independent variables appropriate? Is the dependent variable normally distributed for each level of the categorical variable? Are there sufficient observations per level of the categorical variable? You should reference the appropriate figures and tables to support your statements. You should always provide a summary statistics table and discuss it (missing data and relevant statistics). The last sentence should be whether the data is appropriate for an ANOVA.
- This paragraph discusses the results. Were the ANOVA results significant (Report the f value and the p value from SAS)? Clearly state whether your rejected or failed to reject the null hypothesis. Are the means of any levels (values) of the categorical variable significantly different from each other? Again, use the appropriate tables, charts, and figures to back up your statements.
- What is your recommendation based on this analysis? Is further analysis needed? In plain language, clearly state what you found (answer the research question) and your recommendation on what to do next. What is the impact of your recommendation for the company?
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