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Al is standing 50 yards from a maple tree and 30 yards from an oak tree in the park. If he is looking at the maple tree, he needs to turn his head 120 degrees to look at the oak tree. How many yards apart are the two trees?
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Strayer University Lithonia Campus Descriptive Statistics Method Discussion
Skill(s) Being Assessed: Problem Solving - Data Analysis (Mathematical Reasoning)What to Submit / Deliverables: Word Docum ...
Strayer University Lithonia Campus Descriptive Statistics Method Discussion
Skill(s) Being Assessed: Problem Solving - Data Analysis (Mathematical Reasoning)What to Submit / Deliverables: Word Document uploaded to the Blackboard AssignmentWhat 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 to not only 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: 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.
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Strayer University Lithonia Campus Descriptive Statistics Method Discussion
Skill(s) Being Assessed: Problem Solving - Data Analysis (Mathematical Reasoning)What to Submit / Deliverables: Word Docum ...
Strayer University Lithonia Campus Descriptive Statistics Method Discussion
Skill(s) Being Assessed: Problem Solving - Data Analysis (Mathematical Reasoning)What to Submit / Deliverables: Word Document uploaded to the Blackboard AssignmentWhat 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 to not only 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: 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.
4 pages
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3. Express log35 in terms of common logarithms. Then approximate its value to Use log47 ≈ 1.4037 and log43 ≈ 0.7925 to ...
Unit 6 Project
3. Express log35 in terms of common logarithms. Then approximate its value to Use log47 ≈ 1.4037 and log43 ≈ 0.7925 to approximate the value of ...
HLT-362V GCU Clinical Inquiry and Hypothesis Testing Assignment
1.Provide two different examples of how research uses hypothesis testing, and describe the criteria for rejecting the null ...
HLT-362V GCU Clinical Inquiry and Hypothesis Testing Assignment
1.Provide two different examples of how research uses hypothesis testing, and describe the criteria for rejecting the null hypothesis. Discuss why this is important in your practice and with patient interactions.2.Evaluate and provide examples of how hypothesis testing and confidence intervals are used together in health care research. Provide a workplace example that illustrates your ideas.
3 pages
Statistics Assignment Answers
1. To study about the relationship between height and the weight, you need to collect a sample of nine (9) people using a ...
Statistics Assignment Answers
1. To study about the relationship between height and the weight, you need to collect a sample of nine (9) people using a systematic sampling method.
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