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2 pages/≈550 words
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Style:
APA
Subject:
Mathematics & Economics
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English (U.S.)
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Topic:

The Foundation of Data-Driven Decisions

Other (Not Listed) Instructions:

Skill(s) Being Assessed: Problem Solving - Data Analysis (Mathematical Reasoning)
What to Submit / Deliverables: Word Document uploaded to the Blackboard Assignment
What is the value of doing this assignment? You’ll practice your problem-solving skill by identifying foundational statistical concepts and explaining how data-driven decision making can help inform real-world problems. This will provide you with a solid foundation that will help you not only to be successful in this course but to learn to make smarter, data-driven decisions in your personal and professional life.
Your goal for this assignment is to: Practice your problem-solving skill by answering questions about statistical concepts and the benefits and uses of data-driven decision making.
Steps to Complete:
Step 1: Review the weeks 1, 2, and 3 Learn sections in Blackboard and then use the Week 3 Assignment Template to answer the questions below.
Step 2: Save and submit your Word document using the Assignment link in the Week 3 Submit page in Blackboard.
1. You would like to determine whether eating before bed influences sleep patterns. List each of the seven steps for conducting a statistical study.
2. Explain what you would do to complete each step.
3. Then, answer the questions below:
What is your hypothesis on this issue?
What type of data (quantitative or categorical) will you be looking for? What are some examples?
What methods would you use to gather information? Which sampling method would you use and why?
How would the results of the data influence decisions you might make about eating and sleeping?
How would we know if the results of the study are 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?

Other (Not Listed) Sample Content Preview:
Week 3 Assignment Template
The Foundations of Data-Driven Decisions (85 Points)
Name:ADD YOUR NAME
Step 1
Define the research question and objectives:
Clearly state the research question, for example: “Does eating before bed influence sleep patterns?”
Identify the objectives of the study, for example: “To examine the effects of meal timing, type, and size on sleep patterns in a sample of 40 participants.”

Step 2

Design the study:
Determine the sample size, for example: “40 participants”
Decide on the sampling method, for example: “random sampling”
Develop a plan for data collection, for example: “Record the sleep patterns of participants both before and after consuming a meal over a specific period of time.”

Step 3

Collect the data: Gather the data using the methods defined in the study design, for example: “Record the sleep patterns of 40 participants using a sleep monitoring device both before and after consuming a meal over a specific period of time.”

Step 4

Prepare the data:
Organize the data into a usable format, for example: “Enter the data into a spreadsheet or database.”
Clean the data by removing any errors or outliers
Code the data, for example: “Code the data according to meal timing, type, size, and sleep patterns.”

Step 5

Analyze the data:
Use statistical tests, for example: “Compare the mean sleep duration and sleep quality of participants before and after eating, and examine the relationship between meal timing, type, size, and sleep patterns.”

Step 6

Interpret the results:
Draw conclusions and make inferences about the data based on the results of the analysis, for example: “Eating before bed negatively affects sleep patterns, participants who ate close to bedtime had shorter sleep duration and lower sleep quality.”

Step 7

Report the findings:
Communicate the results and conclusions of the study in a clear and concise manner in a written report or a scientific paper, for example: “The study found that eating before bed negatively affects sleep patterns and participants who ate close to bedtime had shorter sleep duration and lower sleep quality. The results of this study suggest that it's better to avoid eating close to bedtime for better sleep quality.”

3 Then, answer the questions below.
What is your hypothesis?

The hypothesis in this study suggests that consuming food has a detrimental effect on sleep patterns, leading to less restfulness...
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