Reference no: EM133555587
Homework
Learning Outcome
A. Construct useable and effective data analytics models incorporating industry-recognized software and standard algorithms.
B. Incorporate data, inferences, and reasoning to solve problems.
Purpose
The purpose of this Homework is for students to demonstrate their capabilities in defining, formulating and executing data analytics for the purpose of organizational problem solving. It is intended to be self-directed, enabling assessment of each student's level of mastery of foundational analytical concepts and techniques.
Instructions
The Homework will give you an opportunity to practice some of the analytics skills you learned in your Reading this week, and also to reflect on that learning. Your Homework is to design and conduct an analytical inquiry of your own design. To fulfill the Unit 6 Homework, complete the following steps:
A. Identify a realistic problem that can be addressed through data analysis that a modern organization or business might face. If you use a problem from your workplace, ensure that you have necessary permission to use data from your employer, and be sure to respect privacy and data ownership rights. Remember that you only have one week to complete this Homework, so choose something that is limited enough in scope that you can realistically complete the work required in one week's time.
B. Determine what data you will need to statistically investigate your chosen problem. Collect these data and organize them into a dataset appropriate for your planned investigation. Gather as many observations as you can.
C. Apply an appropriate statistical model to your data using RStudio.
D. Write a report of not less than 4 pages in APA format. Use Times New Roman 12-point font with one-inch margins on all sides. Cite at least five sources relevant to your topic, supporting your definition and treatment of the subject. Include Title and References pages, which are not part of the four-page minimum. Organize your report to include:
a. An introduction and summary of your chosen problem, a description of your data preparation,
b. A discussion of your statistical modeling activities,
c. A summary of your results, and
d. A conclusion stating what you discovered.
You may choose to include recommendations or a list of additional questions that arose from your investigation.
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