For this assignment, you must analyze a dataset and provide the results of your analysis. You should not interpret the output at this stage. In the video game dataset provided, you can explore two categorical or grouping variables (independent variables), which include the type of player (police officer or thief) and advertising period (advertising period or no advertising period). You can explore the data to determine if the number of video game visits and/or the amount of visit time (dependent variables) are different for the levels of the two independent variables. If the data are normally distributed, you could use independent samples t-tests as your inferential model to compare the two levels of each independent variable (you would run two separate t-tests). If you analyze both independent variables simultaneously with their interaction term, you will use a two-way analysis of variance. Your paper should consist of the following components: Describe the problem and state the hypotheses to be tested. Include the appropriate descriptive statistics and visuals in order to describe the characteristics of the data and include a written summary of the data. Address all relevant statistical assumptions and provide a written summary of the findings. Describe the results of the inferential analyses implemented to address each hypothesis. Length: 5-7 pages, not including title and reference pages References: Include a minimum of 5 scholarly resources with corresponding in-line citations using APA 7 standards. The completed assignment should demonstrate thoughtful consideration of the ideas and concepts presented in the course by providing new thoughts and insights relating directly to this topic. The content should reflect scholarly writing and current APA standards

Week 5 Assignment - Case Study: Statistical Forecasting Dr. Megan Zobb, a key researcher within the North Luna University Medical Center, has been studying a new variant of a skin disease virus that seems to be surfacing among the North Luna University population. This variant (which has been tentatively named Painful Rash or PR), leads to the formation of surface lesions on an individual's body. These lesions are very similar to small boils or isolated shingles sores. These PR lesions are not necessarily clustered as shingles lesions are, but are isolated across the body.Insights From Initial Interviews Megan is initiating some efforts at a preliminary analysis. She has seen 20 initial patients and made several observations about the skin disease. She wants to analyze this initial data before structuring and recommending a more encompassing study.The signs and symptoms of this disorder usually affect multiple sections of the patient's body. These signs and symptoms may include: Pain, burning, numbness or tingling, but pain is always present. Sensitivity to touch. A red rash that begins a few days after the pain. Fluid-filled blisters that break open and crust over. Itching. Some people also experience: Fever. Headache. Sensitivity to light. Fatigue. Pain is always the first symptom of PR. For some, it can be intense. Depending on the location of the pain, it can sometimes be mistaken for a symptom of problems affecting the heart, lungs, or kidneys. Some people experience PR pain without ever developing the rash. The degree of pain that the individual experiences is seemingly proportional to the number of lesions.Dr. Zobb is extremely concerned that this new variant is especially challenging to the younger population, who are active and like to be outdoors. She has asked you as an analyst and statistician for some assistance in analyzing her initial data. She is not a biostatistician, so she requests that you explain the process you use and your interpretation of the results for each task.Initial Data Analysis Dr. Zobb has accumulated some data on an initial set of 20 patients across multiple age groups. She believes that the data suggests younger individuals are affected more than others. She wants you to complete the tasks shown here based on the data below.For each of the following, provide a detailed explanation of the process you used along with your interpretation of the results. Submit the response in a Word document and attach your Excel spreadsheet to show your calculations (where applicable). Be sure to number each response (e.g., 1.a, 1.b,…). Develop an equation to model the data using a regression analysis approach and explain your calculation process in Excel. Calculate the r-square statistic using Excel.  Interpret the meaning of the r-square statistic in this case.   Determine three conclusions that address the initial observations and are supported by the regression analysis. Regression Analysis Initial DataPatient NumberAge of PatientNumber of Lesions124162637345124172452120672473213836169262110471011311512231813518142422152618162519173112181929191825202117 Effects of Sunlight Analysis In her initial observations, Dr. Zobb notices that the number of lesions that appear on a patient seems to be dependent on the amount of direct sunlight exposure that the patient receives. She is uncertain at this point why this would be the case, but she is a good experimentalist and is trying to establish some observations that have statistical validity. She has taken a limited amount of data on 8 patients and wants you to complete the appropriate analysis based on the data below (be sure to show your work): Develop an equation to model the data using a regression analysis approach and explain your calculation process, using Excel.   Megan has a small group of three additional patients that are the same age that she wants to examine for lesions.  She knows the number of hours of continuous exposure to direct sunlight that each has experienced. Predict the number of lesions that each of these patients will have based on the regression analysis that you completed in your initial data analysis: Patient 9 – 193 hours. Patient 10 – 219 hours. Patient 11 – 84 hours. Determine three conclusions based on the correlation of the number of lesions to hours of sunlight exposure, using regression analysis.  Sunlight Exposure Regression DataPatient NumberTime of Continuous Exposure to Direct Sunlight (Minutes)Number of Lesions122524218416322020424026518014618416718620821522Over the Counter Medication Effectiveness Analysis Dr. Zobb wants to test several over the counter lotions—that is, lotions available without a prescription—that can be applied directly to the lesions. She wants to determine whether there is a difference in the mean length of time it takes these three types of pain lotions to provide relief from the pain caused by these lesions. Megan is hoping that one of these lotions might be more promising than the others. Several sufferers (with roughly the same number of lesions) are randomly selected and given one of the three medications. Each sufferer records the time (in minutes) it takes the medication to begin working. The results are shown in the table below. She asks you to answer these questions (be sure to show your work). State the null hypothesis and the alternative hypothesis for this situation. At ? = 0.01, can you conclude that the mean times are different? Assume that each population of relief times is normally distributed and that the population variances are equal.  Hint: Use a one-way ANOVA to solve this problem. Be certain to show your calculations and describe the process you used to solve this problem. Determine three conclusions on the effectiveness of the medication by addressing observations or hypotheses regarding these initial tests.    Effectiveness of Over the Counter MedicationsMedication 1 (Minutes)Medication 2 (Minutes)Medication 3 (Minutes)121614151417172120121515 19 Summary of Data Analysis Now that you have all of your data analysis: Provide a three-paragraph summary of the findings you learned through the analysis. Provide three data-driven suggestions for further exploration. 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.  The specific course learning outcome associated with this assignment is: Recommend a course of action utilizing quantitative methods for health services including biostatistics, forecasting, and the modeling of predictive functions.

1. In Health Administration Programs conducting satisfaction surveys are usually covered in courses on quality improvement. This exercise shows how datafrom satisfaction surveys can be analyzed over time. Assume that, in different time periods, 4 randomly selected patients rated their satisfaction with our services. Are we improving? o Please use the following peer video as a reference for this question. You can find the solution here In Health Administration programs accounting courses typically cover cost data. Forensic accounting examines tries to detect fraud through accounting procedures. The following data were obtained regarding the cost of taking care of patients over several time periods. Are our costs within expectation? o Please use the following peer video as a reference for this question. You can find the solution here Payment reform has made hospital payments more complex. One issue in payment reform is whether the net payments to hospitals are decreasing because of numerous carve-outs for never-events. In health administration programs, payment reform is covered in several courses including courses on value-based payments, finance, quality and strategic planning. In this assignment, examine if payments for AMI have declined over 4 time periods indicated in the table below. Visit the following link to download the files listed below. Keep in mind that start and end periods of data are also given inside the files and that these do not correspond to the reporting year. Also, note that the name of variables and files change over the years.In these files the denominator indicates the number of patients. Payment indicates average payment per patient. Select data for hospitals that had at least 100 patients. Submit an Excel file containing the control chart for the data.In order to complete this assignment, you must submit an Excel file with each question answered in a separate sheet. Copy both the question prompts and your answers to the file. All calculations should be done by formulas and not as fixed values.Week 6Question 3 https://data.medicare.gov/data/archives/hospital-compareQuestion 4 https://data.medicare.gov/data/archives/hospital-comparehttps://youtu.be/jtSqzPWoVAw