Design of Experiments: STAT 3515Q
Project
Design of Experiments: STAT 3515Q
Spring 2021
General Instructions:
• This is an individual Project.
• Save the project under the file name LastName-FirstName-Project.pdf
• Submit the typed PDF file (no hand written accepted for grading) through HuskyCT by April 19, 2021, at 11:59 pm.
Max Points:
100
Problem:
• Choose a paper from a journal, or a newspaper article that or any other source that involves a designed experiment and statistical analysis.
• You must choose a paper for which the data is available. Choose something that you find interesting.
• Describe the design of the experiment (research hypothesis, response variable, factors, design, etc.)
• What were the conclusions of the experiment?
• Do you have suggestions, comments, or criticism about the analysis?
• If time permits, a class presentation (5-7 PowerPoint slides).
The project must include
• Description of the research question(s)
• Description of data-what and how collected
• Presentation of design of experiments & statistical analysis of data including
– what design of experiments & analyses were used and why?
– results containing a small number of tables or graphs
– the appropriateness of the assumptions underlying your methods should be addressed.
– conclusions
• Limitations of analysis/data;
• Further questions and suggestions.
Detailed format of the report submission:
Title Page:
• Title/Author/Name of the Institution/Date.
Abstract
• a list of key words that describe the project and identify the major research concept.
• main objectives,
• design of the experiment used,
• summary of most important results,
• major conclusions.
Introduction : address the answers for the following questions
• What is the research problem?
• Why is it important?
• What type of statistical analyses/ design of the experiment(s) are you going to implement?
Data
• Source of dataset and brief description of the dataset and variables contained.
Statement of Problem and Statistical Analysis Approach
• Clear & repeatable description of how you tackled the problem.
• Describe statistical methods of the design of the experiment used
• Give results - models, parameter estimates, confidence intervals, interpretation of estimates, confidence interval, ANOVA tables, checking assumptions, transformations, etc. as appropriate.
Results
• Actual findings, significant output of tests & analysis
• Include problems encountered.
Summary & Conclusions
• Restate problem, approach & results
• Conclusions you drew (& why)
• Utility of results
• Subject for further study
References
Appendices
• Customized SAS outputs along with SAS codes
• Dataset.
2021-04-24