mat210 assignment 3
docx
keyboard_arrow_up
School
Strayer University *
*We aren’t endorsed by this school
Course
210
Subject
Mathematics
Date
Apr 3, 2024
Type
docx
Pages
2
Uploaded by njessie1984
Jessica Nason
MAT210 – Data-Driven Decision Making
Week 3 Assignment 1:
The Foundation of Data-Driven Decisions
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.
Descriptive Is when something is visual and Inferential is when something is predicted. So an example of descriptive would be when you sit there and watch someone turn the door handle and count how many time in a day this happens. Then Inferential is when you predict how many
people Is goi g to turn the door handle . 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
I feel that eating a small snack before bed may help you sleep longer at night because you would be less likely to wake up for being hungry. I would look for how much someone eats and how long they stayed asleep for and if they had any Issues like discomfort at night from eating. I would have the person fill out a questionnaire on the types of food they ate. What time they ate and what time they went to bed and woke up. 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?
We would ask to have the survey taker submit a receipt for the purchases of the tea and coffee that we need data on. After receiving the surveys we
would want to ask what tea brands names they tried and make sure that they are part of the ones we were doing the data on. This will help us keep
our data valid and reliable. 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.
Drug abuse is a big problem in the world now and Its taking the lives of a lot of people. We need to use data and statistics to figure out how to stop the use of these bad drugs and the sale of these deadly drugs. 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 helps by making more information available so we can do something to help these people in need before it’s to late.
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help