Assignment: Scenario: An I/O psychologist was hired to investigate a stress reduction program at Tools R Us.  The company believes that the workers are not disconnecting themselves from their work when out of the office causing excessive workload and burnout. 50 participants are randomly selected from the work place at Tools R Us. All participants are given a 20 item stress inventory, the IPSI, to measure their stress.  For a period of 1 month, all participants were restricted from company internet, email, and work tasks outside of the workplace.  All participants were again given the same 20 item stress inventory after the 1 month.  Higher stress scores on the Industrial Psychological Stress Inventory (IPSI) indicate greater work related stress. Research Question: Does disconnecting from work while outside the office reduce stress of employees? Data file: Stress reduction study data-1.csv Data file column descriptions:  Participant #: Not used in the analysis IPSI Score Before Disconnecting: The subject’s scores on the Industrial Psychological Stress Inventory before disconnecting from work. IPSI Score After Disconnecting: The subject’s scores on the Industrial Psychological Stress Inventory after the one month of disconnecting from work. Lab worksheet: dependent t worksheet.docx Instructions:

Question 1: We have received a set of comments over time on the web. Check if we have improved? Please note that there are no pre- and post intervention periods and therefore control limits must be calculated from the entire period. You can find the data hereYou can find the solution here here - Alternative Formats .Question 2: The following data show the speed with which Alabama Medical Center's Emergency Room provides a patient who has fractured long bone with pain medication. Examine if the organization has been able to reduce the response time to less than 73 minutes? You can find the data hereMeasure Start DateMeasure End DateMinutes to Pain MedicationSample4/1/20133/31/2014781327/1/20136/30/2014681247/1/20136/30/20146812410/1/20139/30/2014721221/1/201412/31/2014761384/1/20143/31/2015851447/1/20146/30/20158613710/1/20149/30/2015951211/1/201512/31/201599111Please use the following peer video as a reference for this question. You can find the solution here here - Alternative Formats .Question 3: In Hospital Administration Programs, time to adverse events is typically taught in courses on quality. It also may be referred to in courses on strategy, if the hospital is focused on competing based on quality. Hospital Compare reports the measure OP_21. The Score field provides time (in minutes) from emergency department arrival to initial oral, intranasal or parenteral pain medication administration for the patients with a diagnosis of a long bone fracture. The field Sample provides the number of patients used to calculate the time to pain medication. In this assignment, we ask you to track the performance of "Inova Fairfax Medical Center" over two years. Focus on the Score variable. Download Hospital Compare data; these years include data from 2013 to 2015. Merge the file " HQI_HOSP_TimelyEffectiveCare" across all the databases that you have downloaded. Select measure ID: "OP_21" . Construct a control chart showin time between pain medications. The data are reported for a range of time; assume that the data are reported for the midpoint of the range. Download data using the following files, additionally include other data (directly from Hospital Compare) for files after 2016: 2016-11-10 2016-08-10 2016-05-04 2015-12-10 2015-10-08 2015-07-16 2015-05-06 2015-04-16 2015-01-22Construct both a Tukey and a time-between control chart for the data. For the time-between control chart assume that data points above median exceed and observations below median are less than the national average.You can find the solution here here - Alternative Formats .Question 4: Analyze the following data using Tukey and Time-In-Between (more than 30 minutes of exercise considered a successful day) charts. Produce 3 charts and discuss if the findings from the 3 charts are similar. To decide if the exercise time has changed, rely on the control chart with the smallest difference between upper and control limit. Download the data hereYou can find the solution here here - Alternative Formats .

For this Discussion, you will explore the relationship between these components and understand the trade-off between reducing risk in our confidence of estimates and increasing precision. To prepare for this Discussion: Review Chapters 6 and 7 of the Frankfort-Nachmias &      Leon-Guerrero text and in Chapter 7, p. 188, consider Hispanic migration      and earnings and focus on how different levels of confidence and sample      size work together. Review Magnusson’s web blog found in the Learning      Resources to further your visualization and understanding of confidence      intervals. Use the Course Guide and Assignment Help found in this      week’s Learning Resources to search for a quantitative article related to      confidence intervals. Using the SPSS software, General Social Survey dataset      and choose a quantitative variable that interests you. Using SPSS: Take a random sample of 100. Calculate the 95% confidence interval for the variable. Calculate a 90% confidence interval. Take another random sample of 400. Calculate the 95% confidence interval for the variable. Calculate a 90% confidence interval. Post your results, the mean of Age to verify the dataset you used, and an explanation of how different levels of confidence and sample size affect the width of the confidence interval. Next, consider the statement, “Confidence intervals are underutilized” and explain what the implications might be of using or not using confidence intervals. Provide examples based on the results of your data. Also, use your research to support your findings. Learning Resources Required Readings Frankfort-Nachmias, C., Leon-Guerrero, A., & Davis, G. (2020). Social statistics for a diverse society (9th ed.). Thousand Oaks, CA: Sage Publications. Chapter 5, “The Normal Distribution” (pp. 151-177) Chapter 6, “Sampling and Sampling Distributions” (pp. 179-209) Chapter 7, “Estimation” (pp. 211-240) Wagner, III, W. E. (2020). Using IBM® SPSS® statistics for research methods and social science statistics (7th ed.). Thousand Oaks, CA: Sage Publications. Chapter 3, “Selecting and Sampling Cases” Chapter 5, “Charts and Graphs” Chapter 11, “Editing Output” Magnusson, K. (n.d.). Welcome to Kristoffer Magnusson’s blog about R, Statistics, Psychology, Open Science, Data Visualization [blog]. Retrieved from http://rpsychologist.com/index.html As you review this web blog, select the Interpreting Confidence Intervals – new d3.js visualization link, once you select the link, follow the instructions to view the interactive for confidence intervals. This interactive will help you to visualize and understand confidence intervals. Note: This is Kristoffer Magnusson’s personal blog and his views may not necessarily reflect the views of Walden University faculty. Walden University Library. (n.d.). Course Guide and Assignment Help for RSCH 8210. Retrieved from http://academicguides.waldenu.edu/rsch8210 For help with this week’s research, see this Course Guide and related weekly assignment resources. Datasets Your instructor will post the datasets for the course in the Doc Sharing section and in an Announcement. Your instructor may also recommend using a different dataset from the ones provided here. Optional Resources Rice University, University of Houston Clear Lake, and Tufts University. (n.d.). Online Statistics Education: An Interactive Multimedia Course of Study. Retrieved from http://onlinestatbook.com/2/estimation/ci_sim.html Use this website for your practice as you consider confidence intervals and how the width changes. Also, consider why the width might be important. Skill Builders: Confidence Intervals Sampling Distributions