Chaparral Regional Hospital is a small, urban hospital of approximately 60 beds, and offers the following:Emergency room servicesIntensive careSurgical careObstetricsDiagnostic servicesSome rehabilitation therapiesInpatient pharmacy servicesGeriatric services andConsumer physician referral servicesRecently, the CEO has been hearing complaints from both patients and staff. You have been hired to design and implement a Quality Improvement Plan to help uncover quality problems and satisfactorily resolve them.Scenario ContinuedYour CEO has requested that you provide employee training on Quality Improvement. You have done an initial survey of patient satisfaction, and the CEO has asked you to explain how the data will be analyzed, using this initial data.Given the variety of complaints coming from both employees and patients, it is critical for everyone to understand the importance of conducting the survey and obtaining solid data.QuestionGreat5Good4OK3Fair2Poor1No ResponseTotalFacility and Convenience Hours of Operations10173010040Convenience of location1015533440Cleanliness1114843040Waiting time in reception area9160411040Comfort while waiting2010550040Staff Explained procedure179806040Questions answered1115723240Friendly and helpful215572040Knowledgeable and professional621433040Modesty respected1214806040Confidentiality respected (HIPAA)10101451040Overall Satisfaction Overall impression of visit300532040Willingness to return310900040Likelihood of referring to others320431040Respondents were also asked about their wait times. Here is the data on wait times:Number respondingWait time before being checked in at Reception410 minutes1615 minutes820 minutes1225 minutes Number respondingWait time before being seen by a healthcare professional210 minutes615 minutes1020 minutes2225 minutesInstructionsYou are to create an agenda for the training and a memo with bullet points to present the statistical analysis of the initial data. The memo should include an explanation of each of the statistical results. In particular, you should be able to explain what the results mean to the facility.Determine the percentages of the following:Percent who responded with a 5 (Great) on "Overall impression of the visit"Percent who responded with a 2 (Fair) or 1 (Poor) on "Overall impression of the visit"Percent who responded with a 5 (Great) on "Willingness to return"Percent who responded with less than 5 on "Willingness to return"In the area of "Facility and Convenience," which indicator had the highest percentage of 5 (Great) responses? Which had the lowest?In the area of "Staff," which indicator had the highest percentage of 5 (Great) responses? Which had the lowest?What is the mean waiting time in the reception area?What is the mean waiting time to see a healthcare professional?Microsoft Word has many memo templates. In your memo, be sure to address each statistical analysis and what it means to the facility. Why ask these questions? How could the data be used for quality improvement?NOTE - APA formatting, and proper grammar, punctuation, and form required.An agenda can set the tone for a meeting. It is an important tool to ensure meetings are staying on track and meeting all of the objectives. Create a detailed meeting agenda for a meeting you will hold with your supervisor and fellow department heads discussing your findings (Hint: Microsoft Word has many agenda templates).Make sure to include the following in the agenda:Explain each statistical exampleExecutes supporting questions that would be asked on a QI survey.How that data would be usedThe majority of the agenda should be focused on data analysis and its use in QI plansCorrectly identifies how reliability is related to measuring quality and thoroughly discusses supporting details.Correctly identifies how validity is related to measuring quality and thoroughly discusses supporting details.Executes an agenda that includes supporting topics and related questions.Executes an appropriate format for a memo containing bullet points for training and a supporting structure.Uses mastery of competency to devise alternate solutions and create new value

Week 6 AssignmentQuestion 1Professor Nord stated that the mean score on the final exam from all theyears he has been teaching is a 79%. Colby was in his most recent class,and his class’s mean score on the final exam was 82%. Colby decided to run a hypothesis test to determine if the mean score of his class was significantly greater than the mean score of the population. α = .01.What is the mean score of the population?What is the mean score of the sample?Is this test one-tailed or two-tailed? Why?What is the null hypothesis in this case?If p = 0.29, should Colby reject or fail to reject the null hypothesis?What should Colby’s statement of conclusion be? (This circles back towhat is being tested).The next two ask you do to a hypothesis test. Remember, hypothesis tests follow a series of steps. They are not just a computer printout. Make sureif you use a computer printout, you identify which parts of the printout apply to the problem. All of the parts of the printout will NOT apply.Question 2A sample of 22 account balances of a credit company showed a mean customer balance of $4,300, but the marketing manager claimed that the mean balance for the population was $4450. The marketing manager did NOT have the population standard deviation, but the sample standard deviation was found to be $400. Use the p-value approach to conduct a full hypothesis test(all steps) that can be used to determine whether the mean of all account balances is significantly different from $4440. Let α = .05.Question 3A sample of 150 homes for sale in ABC City showed a mean asking price of $233,000, but the city claimed that the mean asking price for the population was $255,000. The population standard deviation of all homes for sale was $11,000. Use the p-value approach to conduct a full hypothesis test (all steps) that can be used to determine whether the mean asking price is significantly less than $255,000. Let α = .10.Question 4 During the recent primary elections, the democratic presidential candidate showed the following pre-election voter support in Alabama and Mississippi.StateVoters Surveyed Voters in favor of Democratic CandidateAlabama710352Mississippi 915480We want to determine whether or not the PROPORTIONS of voters favoring the Democratic candidate were the same in both states. In other words, is the first proportion (p1) the same as (p2)? What formula, from this week’s Notations and Symbols, would be applicable in the hypothesis test? (Notice you are not doing a hypothesis test – you are saying which formula applies).Project Week 6For these project assignments throughout the course you will need to reference the data in the ROI Excel spreadheet. Download it here.For each of the 2 majors, conduct a full hypothesis test using the p-value method at the 5% significance level:The mean ‘Cost’ for a college is $165,000. The average ’30-Year ROI’ for Business majors is less than for Engineering Majors. 2. For Business versus Engineering majors conduct full hypothesis test with the p-value method. This is a two sample test of the hypothesis at the 10% significance level (assume the variances are not equal):3. In a highlighted box, explain how each hypothesis test contributes to the central question of which major would give the better ROI. Why do we need hypothesis testing? Isn't it enough to look at the sample of 20 schools and look at those numbers? What exactly does hypothesis testing do that looking at the numbers in the sample and saying "one is higher than the other" cannot do? This answer is critical to your final project. It demonstrates that you understand why you just can't look at the mean, median, and mode of the spreadsheet and "call it a day." Remember that written portions belong on a MS Word document.Hint from Dr. Klotz: Notice that you are conducting a full hypothesis test three times in this project. This is more than running a computer program. Make sure that you have all parts as discussed in the threads.

Homework 3Homework 3 focuses on the application of concepts addressed in Exercises 13 and 28. Homework 3 is due SUNDAY at 11:59pm.Homework 3 involves survey data from the Centers for Disease Control (CDC) that focused on residential care facilities in the United States in 2010 (CDC, 2010). Residential care facilities primarily consist of persons in assisted living communities who receive housing and supportive services because they cannot live independently but generally do not require the skilled level of care provided by nursing homes. The focus of the first national study of acute care use in residential care facilities by Kahveci and Cipher (2014) was on acute care use (emergency department visits and hospitalizations) among persons in various disease categories, and information regarding the residents’ length of stay and visitor frequency was also collected. Length of stay in the facility was coded as 1 =0 to 3 months; 2 =3 to 6 months; 3= 6 months to a year; 4= 1 to 3 years; 5 =3 to 5 years; 6 =More than 5 years. Visitor frequency was coded as 1 =Every day; 2 =At least several times a week; 3 =About once a week; 4 =Several times in past month; 5 =At least once in past month; 6 =Not at all in the last 30 days. Therefore, higher values of the length of stay variable represent longer stays in the facility. Higher values of visitor frequency represent fewer visitor frequencies, which are considered inverse scoring.The null hypothesis is “There is no correlation between length of stay and visitor frequency among residents of residential care facilities.” The data are presented in HW3.sav. A subset of 15 residents was randomly selected for this example so that the computations would be small and manageable. In actuality, studies involving Pearson correlations need to be adequately powered (Aberson, 2010; Cohen, 1988) and in the case of CDC survey data, adjusted for complex sampling. Download the file: HW3.savOpen in SPSS. Use the dataset to answer the following questions.Calculate the Pearson r between LOS and visitor frequency, using the formula presented in Exercise 28. List the SOLVED numerator and the denominator. See attached for starter calculations. HW3 Starter Calculations.xlsxCompute the Pearson r with SPSS. Paste the correlation matrix table into your homework.What was the exact likelihood of obtaining the r value at least as extreme or as close to the one that was actually observed, assuming that the null hypothesis is true? (this question is asking you for the exact p value, converted to a percentage.) How would you characterize the magnitude of the effect between length of stay and visitor frequency? Refer to Table 28-1 for the size of the effect. State your rationale. Write your interpretation of the results, as you would in an APA-formatted journal. Remember that visitor frequency is REVERSE coded, with larger values represented FEWER visitors.Help for Homework 3:Please watch my video ‘What is a p value‘ in Module 2. When comparing the obtained r to the tabled r, the obtained must be higher than the tabled r to achieve significance. The other way to determine significance is to look at the exact p value presented in statistical software output. If the exact p is LESS THAN .05 thenthe result is significant.