Progress CheckUse this activity to assess whether you and your peers can: Calculate the Z-score for a sample proportion.Use probability to interpret the Z-score for a sample proportion.Identify usual and unusual sample proportions in a sampling distribution.Learn by DoingUse the rubric at the bottom of this page as a guide for completing this assignment.DirectionsSubmit your work:Commit a good-faith effort to address all items in the Prompt section below.Complete your assigned peer reviews:After you submit your initial good-faith attempt, continue to the ANSWER(S) page and review your instructor's response. But please do not submit your corrected work yet.Within three days after the due date, return to this assignment and complete your assigned peer reviews (directions (Links to an external site.)).Submit your corrected work:We all learn from mistakes (our own and our classmates' mistakes). So please do not immediately correct your own mistakes. If possible, wait until you receive feedback from at least one of your peers. If necessary, correct your work and resubmit the entire assignment. Your instructor will only review and grade your most recent submission, so please do not refer to a previous submission.PromptIn the 2008 presidential election, newspapers reported that Obama received 40% of the white male vote. If this is true, what is the probability that a random sample of 200 white male voters had less than 35% voting for Obama?Normal Distribution Calculator

For this Assignment, review the resources for this week that are specific to attribute control charts. You should focus on mimicking the development of c and u charts as demonstrated in the resources for this week. The Assignment: (3–4 pages) Using SPSS and Microsoft      Word, complete problems 1 through 5 on pages 330–331 in the Ross textbook.      Show all work. Submit both your      SPSS and Word files for grading. Required Readings Ross, T. K. (2014). Health care quality management: Tools and applications. San Francisco, CA: Jossey-Bass. Chapter 8, "Statistical Process Control for Monitoring Nonconformities” (pp. 301–332) U.S. Department of Commerce, National Institute of Standards and Technology. (2016). NIST/SEMATECH e-handbook of statistical methods. Retrieved from http://www.itl.nist.gov/div898/handbook Chapter 6.3.3, “Attributes Control Charts” Emmanuel, J. (2015a). SPC 4: c-chart (control chart for number defective). Retrieved from https://www.youtube.com/watch?v=RvEjgsYkTZk PROBLEMS 1. A hospital introduced hip protectors to reduce the frequency of injury-producing patient falls. The hip protectors were introduced in July. The following table records the number of injury-producing falls from January through December. Create and interpret a c chart for patient falls. Were the hip protectors effective in reducing injury-producing patient falls?  s Month Falls Jan 5 Jul 3 Feb 5 Aug 3 Mar 3 Sep 2 Apr 4 Oct 2 May 2 Nov 3 Jun 2 Dec 3 2. The director of medical records conducts a monthly audit of 50 medical records to iden- tify coding errors. The Chapter 08.xls, Problem 08–02 tab records the data. National sta- tistics indicate that approximately 15% of medical records contain errors, and in the past the director has found multiple errors in a single record. Create a c chart to analyze perfor- mance. Interpret the department’s performance based on your control chart and identify any issues that should be investigated. Is the department doing a good job?  3. The chief medical officer is concerned that the long lengths of stay at her hospital may be the result of missed oxygen treatments. She has enacted a program to reduce the number of missed treatments. The Chapter08.xls, Problem 08–03 tab, records the number of missed oxygen treatments over the last 40 weeks. The improvement program was introduced in week 20. Was the program effective?  4. Implementing regular nursing rounds has been demonstrated to increase patient satisfac- tion and reduce patient falls. A hospital has collected data on ten patients per month over the past 24 months. The first twelve months the hospital did not have a formal rounding system. During the second period nurses were required to make rounds on an hourly basis from 8:00 AM through 8:00 PM and every two hours from 8:00 PM to 8:00 AM. The Chapter 08.xls, Problem 08–04 tab displays the number of call lights received per day for the ten- patient sample. Create a c chart to determine the effect of the rounding system on the use of call lights. Did the rounding program reduce patients’ use of call lights? Are there any issues that should be investigated?  5. To supplement their patient satisfaction survey, End Result Hospital conducts in-depth tele- phone interviews of past patients. The interviews are based on a 1% sample of the completed surveys from the prior month. The sample varies widely due to differences in monthly admis- sions, the rate at which surveys are completed, and the willingness of patients to participate in the telephone interview. The Chapter 08.xls, Problem 08–05 tab records the total number of the patients’ concerns noted by the interviewers. These concerns range from the effective- ness of medical treatment to the cleanliness and comfort of the patient room and ease of parking. The interviewer addresses the same items found on the patient satisfaction survey, solicits additional information for any item on which the patient indicated performance was less than “Good” or “Very Good,” and provides the patient with the opportunity to voice any other concerns. Create a control chart to summarize the results. Are patient concerns stable?