Can someone help me with this?? I'm not sure where i would even begin with this project..

MATH 222 - Business Statistics

Course Project Instructions

This course is constructed around the six steps of statistical investigation. To demonstrate that you have learned the process - and the many tasks included in these steps - you will conduct an investigation of your own. The course project has three deliverables:

Project Plan - due in Module 7

Project Data - due in Module 8

Project Report - due in Module 9

The group discussion in Module 6 will give you the opportunity to begin thinking about the topic for your project and the preparation of your plan. Use this time wisely to engage with peers (and your instructor) to hone your Project Plan for quick approval in Module 7. A strong plan is key to success as is an early start on data collection.

Project Plan (15 points)

There is a "quiz" assignment in Canvas that contains three open-response questions worth five points each. These questions correspond to the three topics that were discussed in Module 6: a research question that can be answered statistically, a description of the data needed to answer that question, and a specific plan for collecting that data.

Take note that human subject research is carefully scrutinized by the Institutional Review Board. There is not time in the term to get approval for a study that includes direct collection of data from human subjects, even a simple survey. You may observe public behavior but cannot communicate directly. It is better to investigate inanimate objects (i.e., price comparisons, measurements, validating a manufacturer's claim) due to the time constraints of the course.

Project Data (25 points)

Another Canvas "quiz" assignment has two questions that require a file upload. The first upload should be a document or spreadsheet that contains the data that you collected. This should be a well-organized and labeled list that your instructor can use to replicate your subsequent work. The second upload should be a file that contains descriptive statistics (summary tables, graphs, and numerical summaries) to show that you have begun to explore your data preparatory to analysis.