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Data-Driven Decision Making

Steps to Complete:

STEP 1: Answer the questions below in a Word document.

STEP 2: Save and submit your Word document in the Assignment link in the Week 3 Submit page in BlackBoard.

1. Explain the difference between descriptive and inferential statistical methods and give an example of how each could help you draw a conclusion in the real world.

2. You would like to determine whether eating before bed influences sleep patterns. List each step you would take to conduct a statistical study on this topic and explain what you would do to complete each step. Then, answer the questions below.

  • What is your hypothesis on this issue?
  • What type of data will you be looking for?
  • What methods would you use to gather information?
  • How would the results of the data influence decisions you might make about eating and sleeping?

3. A company that sells tea and coffee claims that drinking two cups of green tea daily has been shown to increase mood and well-being. This claim is based on surveys asking customers to rate their mood on a scale of 1–10 after days they drink/do not drink different types of tea. Based on this information, answer the following questions:

  • How would we know if this data is valid and reliable?
  • What questions would you ask to find out more about the quality of the data?
  • Why is it important to gather and report valid and reliable data?

4. Identify two examples of real-world problems that you have observed in your personal, academic, or professional life that could benefit from data driven solutions. Explain how you would use data/statistics and the steps you would take to analyze each problem. You may also choose topics below (or examples from the weekly content) to help support your response:

  • Productivity at work.
  • Financial decisions and budgeting.
  • Health and nutrition.
  • Political campaigns.
  • Quality testing in products.
  • Human resource policies.
  • Algorithms for programming/coding.
  • Accounting & financial policies.
  • Crime reduction and trends.
  • Environmental protection / Emergency preparedness.

5. How does analyzing data on these real-world problems aid in problem-solving and drawing conclusions? Be sure to note the value and benefits of data-driven decision-making.

This course requires the use of Strayer Writing Standards. For assistance and information, please refer to the Strayer Writing Standards link in the left-hand menu of your course. Check with your professor for any additional instructions.

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