Conclusion part for a project

You or your team will turn in a short report. This means you should write in full sentences, and have the following sections for each question, while being as specific as you can about your results: I. Introduction. State the question you are trying to answer, why it is a question of interest (why might we be interested in the answer), and what approach you are going to take (just the name of the approach). II. Summary of your data. This should include things like plots (histograms, boxplots) including the interpretation of the plots, and summary values such as sample means and standard deviations. You should have an idea about the trend of the data from this section. III. Diagnostics. You should discuss your assumptions here, and if you believe they are violated. Perform diagnostics for the model. If you believe assumptions are violated, note this and continue with the project. Do not consider transformation of variables for this topic. IV. Analysis. Report back the “best” model (and how you chose that as the best), confidence intervals, test-statistic/s, and p-value/s, nulls and alternatives, etc. You may use tables here, but be sure that you organize your work. Remember to write your results in full sentences where possible. V. Interpretation. State your conclusion, and what inference you may draw from your corresponding tests or confidence intervals, and any other useful statistics you may have calculated. These should all be interpreted in terms of your problem. VI. Conclusion. Summarize briefly your findings. Here you do not have to re-iterate your numeric values, but summarize all relevant conclusions.