Write a project under the following conditions

Description

Below, you can find the class project guidelines and rubrics for evaluation. I also attached 4 sample projects:

General Description

The project needs to address some questions that interest you with the statistical methodology we learn in the course. You choose the question; you decide how to collect data; you do the analyses. The questions can address almost any topic (I recommend they be from your work).

You should get started on the project as early as possible, particularly in thinking about acquiring data and collecting background information. Keep in mind that by the end of lectures, you will have learned many statistical techniques, such as hypothesis testing, confidence intervals, and regression. These techniques will help you address your question of interest.

The most important aspects of any statistical analysis are stating questions and collecting data. Hence, to get the full experience of running your own study, the project requires you to analyze the data that you collect. It is not permissible to use data sets that have been put together by others.

Good projects begin with very clear and well-defined hypotheses. You should think of questions that interest you first, then worry about how to collect and analyze data to address those questions. .

It is important to be thoughtful about and provide an adequate description of the methods and design of the study. Report on the possible biases associated with your data collection. Finally, you should make use of the concepts and methods learned in this course, and not just general knowledge, in planning and completing this type of project.

Project Report

Your report should address the following questions:

What is the topic of your project?

What are the main issues or problems you are investigating?

Background information about your project?

Describe the data you collected, including the variables measured

Methodology of data analysis

Results

conclusion

Project grading guidelines

Grades will be based on the following characteristics:

Consistency: Did you answer your question of interest?

Clarity: Is it easy for your reader to understand what you did and the arguments you made?

Relevancy: Did you use statistical techniques wisely to address your question?

Interest: Did you tackle a challenging, interesting question (good), or did you just collect descriptive statistics (bad)?

Some suggestions for scoring high on these criteria, and suggestions you should keep in mind whenever you write anything, are the following: