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4y=y+26
4y-y=26
3y=26
y=8.7...........................................
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Statistics and Quality Methods
Chaparral Regional Hospital is a small, urban hospital of approximately 60 beds, and offers the following:Emergency room s ...
Statistics and Quality Methods
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
MATH 140 Glendale College Exploring Relationships Between Two Variables Report
Math 140 Project: Exploring relationships between two variables In this project, you will search two quantitative variable ...
MATH 140 Glendale College Exploring Relationships Between Two Variables Report
Math 140 Project: Exploring relationships between two variables In this project, you will search two quantitative variables that may have a linear correlation. You will describe and analyze the relationship between the variables the way it is explained in Chapter 4 (4.1-4.2). You will, then, create a written report including all 4 parts below and turn in by the stated due date according to the guidelines provided in this paper. Required components:1. Understand the Problema) Search for two quantitative variables that may have a linear correlation from the internet, in Canvas or any other media. You may also get the data by surveying 15-20 people. Possible websites to look for data:
You may obtain the data in StatCrunch.com: Click explore and click Data.
http://www.city-data.com/ for demographic information about cities
http://www.cde.ca.gov/ta/ac/ap/ for academic performance index.
http://graphics.latimes.com/responsivemap-pollutio... for pollution burdens.
Website where you found the data: b) Use your intuition and/or experience to predict and write down the descriptions of the possible relationship: Form, Direction, Strength, and outlier, etc. c) Develop a question that address a possible linear correlation between two variables. State the question(s):Identify two variables from the data that are relevant to answer the questions: 2. Analyze the paired Dataa) What is the likely explanatory variable in the paired data?b) Draw a scatter plot of the data. Does the graph show a linear relationship between the variables? Comment on the direction and strength appeared on the scatter diagram.c) Compute the linear correlation coefficient between the two variables and interpret the meaning specifically for your data. d) Find the equation of the least-squares regression line.e) Interpret the slope and y-intercept, if appropriate. f) Use the equation of the least-squares regression line to predict the outcome (y-value) for one of the x-values in your data.g) Find the residual for the x-value you chose in part (f). Explain what it means when a residual is positive or negative.3. Draw Conclusions a) What do the results indicate about the relationship between two variables? b) Do you think there is a causal relation between the variables? Explain. c) Relate the comments you made in step 1b before analyzing the data by commenting on both of the following: How your expectation differs (or do not differ) from the actual results? If it is relevant or meaningful in context, think of a way that these results could be used in practice.4. Summarize Write a short summary of the main findings that you discovered. Math 140 Project: Exploring relationships between two variables -Score Sheet (Total 50 points)Name:________________________________________ Date:__________________________________Title of the project: ____________________________________________________________________Website where you found the data:_______________________________________________________Project Grade: __________________________________
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Prepare a managerial report, starting with an executive summary; expected length up to 3-4 pages APA format, excluding cover page, table of content, and appendixes.Provide several descriptive statistics for real estate sales in your neighborhood. Include:The total number of sales in your neighborhood since 2009The mean sale price and gross square footage for residential properties in your neighborhood since 2009A five-number summary for both sale price and gross square footage for residential properties in your neighborhood since 2009The proportion of sales of residential, commercial, mixed, and other properties in your neighborhood since 2009The standard deviation of sale prices for residential properties in your neighborhood since 2009The correlation between sale price and gross square feet for residential properties in your neighborhood since 2009Perform k-means clustering, comparing your neighborhood to other neighborhoods. Choose at least 3 of the following KPI’sMedian Sale Price for residential properties since 2009Number of sales for residential properties since 2009Standard deviation of sales of residential properties since 2009Proportion of residential sales since 2009Price of 1 gross square foot of residential real estate since 2009Choose one other neighborhood, and test the hypothesis that, starting in 2009, the average residential property costs more, less, or a different amount in your neighborhood (Note: this requires a t-test.)Write 3-4 pages summarizing your findings with a focus on the output, interpretation of the output, and what the insights mean for our decision-making process.I'll give the data after accepting the order.
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Statistics and Quality Methods
Chaparral Regional Hospital is a small, urban hospital of approximately 60 beds, and offers the following:Emergency room s ...
Statistics and Quality Methods
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
MATH 140 Glendale College Exploring Relationships Between Two Variables Report
Math 140 Project: Exploring relationships between two variables In this project, you will search two quantitative variable ...
MATH 140 Glendale College Exploring Relationships Between Two Variables Report
Math 140 Project: Exploring relationships between two variables In this project, you will search two quantitative variables that may have a linear correlation. You will describe and analyze the relationship between the variables the way it is explained in Chapter 4 (4.1-4.2). You will, then, create a written report including all 4 parts below and turn in by the stated due date according to the guidelines provided in this paper. Required components:1. Understand the Problema) Search for two quantitative variables that may have a linear correlation from the internet, in Canvas or any other media. You may also get the data by surveying 15-20 people. Possible websites to look for data:
You may obtain the data in StatCrunch.com: Click explore and click Data.
http://www.city-data.com/ for demographic information about cities
http://www.cde.ca.gov/ta/ac/ap/ for academic performance index.
http://graphics.latimes.com/responsivemap-pollutio... for pollution burdens.
Website where you found the data: b) Use your intuition and/or experience to predict and write down the descriptions of the possible relationship: Form, Direction, Strength, and outlier, etc. c) Develop a question that address a possible linear correlation between two variables. State the question(s):Identify two variables from the data that are relevant to answer the questions: 2. Analyze the paired Dataa) What is the likely explanatory variable in the paired data?b) Draw a scatter plot of the data. Does the graph show a linear relationship between the variables? Comment on the direction and strength appeared on the scatter diagram.c) Compute the linear correlation coefficient between the two variables and interpret the meaning specifically for your data. d) Find the equation of the least-squares regression line.e) Interpret the slope and y-intercept, if appropriate. f) Use the equation of the least-squares regression line to predict the outcome (y-value) for one of the x-values in your data.g) Find the residual for the x-value you chose in part (f). Explain what it means when a residual is positive or negative.3. Draw Conclusions a) What do the results indicate about the relationship between two variables? b) Do you think there is a causal relation between the variables? Explain. c) Relate the comments you made in step 1b before analyzing the data by commenting on both of the following: How your expectation differs (or do not differ) from the actual results? If it is relevant or meaningful in context, think of a way that these results could be used in practice.4. Summarize Write a short summary of the main findings that you discovered. Math 140 Project: Exploring relationships between two variables -Score Sheet (Total 50 points)Name:________________________________________ Date:__________________________________Title of the project: ____________________________________________________________________Website where you found the data:_______________________________________________________Project Grade: __________________________________
R Studio Managerial Report Real State Sales Research Paper
Prepare a managerial report, starting with an executive summary; expected length up to 3-4 pages APA format, excluding cov ...
R Studio Managerial Report Real State Sales Research Paper
Prepare a managerial report, starting with an executive summary; expected length up to 3-4 pages APA format, excluding cover page, table of content, and appendixes.Provide several descriptive statistics for real estate sales in your neighborhood. Include:The total number of sales in your neighborhood since 2009The mean sale price and gross square footage for residential properties in your neighborhood since 2009A five-number summary for both sale price and gross square footage for residential properties in your neighborhood since 2009The proportion of sales of residential, commercial, mixed, and other properties in your neighborhood since 2009The standard deviation of sale prices for residential properties in your neighborhood since 2009The correlation between sale price and gross square feet for residential properties in your neighborhood since 2009Perform k-means clustering, comparing your neighborhood to other neighborhoods. Choose at least 3 of the following KPI’sMedian Sale Price for residential properties since 2009Number of sales for residential properties since 2009Standard deviation of sales of residential properties since 2009Proportion of residential sales since 2009Price of 1 gross square foot of residential real estate since 2009Choose one other neighborhood, and test the hypothesis that, starting in 2009, the average residential property costs more, less, or a different amount in your neighborhood (Note: this requires a t-test.)Write 3-4 pages summarizing your findings with a focus on the output, interpretation of the output, and what the insights mean for our decision-making process.I'll give the data after accepting the order.
5 pages
Social Media Fake News
Fake news refers to news containing false information, aimed at misinforming consumers and other unsuspecting stakeholders ...
Social Media Fake News
Fake news refers to news containing false information, aimed at misinforming consumers and other unsuspecting stakeholders. This trend has affected ...
6 pages
Discussion Board Questions
D4.5.1 Comparing and contrasting a between-groups design and a within-subjects design In a between-groups design, every st ...
Discussion Board Questions
D4.5.1 Comparing and contrasting a between-groups design and a within-subjects design In a between-groups design, every study participant is only in ...
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