Review each scenario and data set carefully and choose which scenario you would like to work with. Begin Phase 1 of your analysis by including the following information:Introduce your scenario and data set.Provide a brief overview of the scenario you are given above and the data set that you will be analyzing.Classify the variables in your data set.Which variables are quantitative/qualitative?Which variables are discrete/continuous?Describe the level of measurement for each variable included in your data set.Discuss the importance of the Measures of Center and the Measures of Variation.What are the measures of center and why are they important?What are the measures of variation and why are they important?Calculate the measures of center and measures of variation. Interpret your results in context of the selected topic. MeanMedianMode Midrange RangeVarianceStandard DeviationConclusionRecap your ideas by summarizing the information presented

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 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 STEP 1: Answer the questions below in a Word document.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 your sleep patterns. Describe the steps you would take to conduct a statistical study on this topic.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:Crime reduction and trends5. 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.