Final Project Details
Learning Outcomes
Formulate statistical questions requiring the collection and investigation of data using various inferential methods
Organize and prepare datasets for analysis
Communicate results in written or oral format in a scholarly, professional manner. Gain confidence in using technology to perform statistical methods and for scholarly presentation.
Written Report and Slides Formatting Details
The report, its headings, tables, figures, and appendices most follow a scholarly style (e.g., APA, MLA, Chicago Style).
Appendix 1 will be your bibliography, Appendix 2 is for annotated code, and Appendix 3 any supplemental output that is important for the reviewer to have access to but not in the body of the report.
No “output dumping”. The body of the report should only contain numerical summaries, figures, tables, etc. that you discuss or interpret as supporting evidence. Supplemental material may go in Appendix 3.
You may discuss your project with other class members, but you are not permitted to form team collaborations, work on the same data set, nor complete each other’s work.
Do not self-plagiarize. Your project needs to be your own original work. Do not copy-paste
work you have done on prior assignments or research.
Dataset Requirements
You will find your own data set for the final project. Students cannot have the same dataset or similar datasets (e.g., two different baseball teams). Your dataset must have at least 100 rows, 2 qualitative variables (identifier not included), and 2 continuous variables (rounded if fine, but verify they are not discrete).
You may end up creating qualitative or quantitative variables depending on your analysis goals, but justification and rational for doing so must be provided. For example, if you have a discrete variable Birth Year, you may decide to create from it a qualitative variable Generation for a chi- squared test and reference how you determined the ranges (in References put the citation for Age Range by Generation: https://www.beresfordresearch.com/age-range-by-generation/). Also for example, you may have height and weight variables and decide to calculate BMI = (weight) /
(height)2 * 703 and reference where you found the formula (in References put the citation for the English System Measurement: https://www.cdc.gov/nccdphp/dnpao/growthcharts/training/bmiage/page5_2.html ).
Suggested Structure and Headings Introduction
Give an introduction and provide brief background information about the broader field of study that provides context for the research. State the objective for your analysis of the data (including but not limited to: what knowledge or new information do you hope to gain by analyzing the data, what broader body of knowledge does an analysis of the data contribute to, and why you are interested in the topic).
A Table of the Variable Definitions
Provide information for the variables used in your analysis, not the entire data set. Also provided definitions for created variables. An example of how this may be accomplished is provided below.
Table 1. Description of the variables
Variable Variable Type Values
Variable name and the label that is in the data set.
Quantitative or Qualitative or ID
Range of values and units of measure or group names
used in the analyses.
Statistical question 1 for one-way ANOVA
State a question or claim requiring the one-way ANOVA method to analyze two appropriate variables from your data (or created variables).
Statistical question 2 for inference for simple linear regression
State a question or claim requiring inference for simple linear regression to analyze two appropriate variables from your data (or created variables).
Statistical question 3 for categorical methods
State a question or claim requiring one of the Chi-Squared methods to analyze two appropriate variables from your data (or created variables).
Methods & Analysis
Order the analysis of the statistical questions in the best logical way to build your case for evidence. Use a heading to mark the analysis to be conducted. Remember to use transitional statement between methods.
Method A
Body
Method B
Body
Method C
Body
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