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This is small project just follow the interactions and answer each questions in the word file

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This is small project just follow the interactions and answer each questions in the word file. Also, analysis the data by using SAS program. the data should be analysis in EXPERIMENTAL DESIGN ( Randomized Complete Block Design or Factorial Designs or Fractional Factorial Designs or Experiments with Random/Mixed Factors ) in one of them. this link of the data: Chocolate Bar Ratings | Kaggle , also, may this website helpful : Flavors of Cacao

INSTRUCTIONS:

• Address each item below by typing and type your answers in the space provided.
• DO NOT delete any of the questions from this templat

INSTRUCTIONS: • Address each item below by typing and type your answers in the space provided. • DO NOT delete any of the questions from this template. • Motivation 1. What is the research question you are/were interested in answering? 2. What motivated you to investigate this research question? Materials and Methods – NOTES: (1) If you performed multiple analyses of your data, choose one analysis to focus on for this experiment. (2) This section should not include any data/analysis/results from your experiment. You will present these in the Results section. 3. What are the factors of interest in your study? Include the levels for each factor as well. 4. What are the experimental units in your study? 5. What is the response variable in your study? 6. Describe the materials used in your study and how it was implemented and data collected. 7. Explain how you chose the sample size for your study. You may provide the total sample size or the sample size for each treatment group. 8. If not completed in part 7., perform a power calculation using the sample size implemented in your study. (For example: Based on the design of your experiment and sample size, what is the power for detecting a difference of two standard deviations between two population means of interest?) 9. Was randomization implemented in your study? Justify your answer 10. Was replication implemented in your study? Justify your answer. 11. Was blocking implemented in your study? (Hint: Consider if you performed your study over multiple days, used different batches of raw material, collected multiple observations on the same experimental unit, etc.) 12. Was your study a designed experiment or was it observational? Justify your answer. 13. What type of experimental design was implemented in your study? Be as specific as possible. 14. Provide the factor effects model for the observations in your study. Be sure to define all parameters and variables in this model within the context of your study. Also, provide the assumptions of this model. 15. Provide the null hypothesis and alternative hypothesis for any test you perform(ed). 16. Describe the methods you used (or will use), including software, to analyze the data from your study. 17. Describe the methods/plots you used (or will use) to evaluate the assumptions of your model. Results: This section should summarize the results of the analysis you performed corresponding to the factor effects model specified in part 14 and hypotheses you specified in part 15. 18. Include the appropriate statistical software output (including appropriate plots of data or plots to evaluate model assumptions). NOTE: You may attach the output to the end of this report. 19. Provide a table of appropriate summary statistics (means, standard deviations, etc.), and discuss this table within the context of the problem. 20. Discuss each plot/graph you include within the context of the problem. 21. Determine parameter estimates (including fixed effects and variance components estimates) of each parameter from your factor effects model. 22. Perform a hypothesis test for each set of hypotheses you provided in part 15. State a conclusion for each test within the context of the problem. 23. Perform multiple comparisons if appropriate, and interpret the results within the context of the problem. If not appropriate, explain why. 24. Evaluate the model assumptions and discuss if the assumptions are reasonably met. Conclusions 25. State the main conclusions of your analysis (within the context of the problem) and give a clear explanation of their potential importance and relevance. Provide a brief description of a future study that could be performed based on the results of your analysis, or describe how your study could be feasibly improved to better address your research question.