Find the slope of the graphed line
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Find the slope of the graphed line.
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Elly's Hotdog Emporium is famous for its chilidogs, Probability assignment help
Elly's Hotdog Emporium is famous for its chilidogs. Elly's latest sales indicate that 30% of the customers order their chi ...
Elly's Hotdog Emporium is famous for its chilidogs, Probability assignment help
Elly's Hotdog Emporium is famous for its chilidogs. Elly's latest sales indicate that 30% of the customers order their chilidogs with hot peppers. Suppose 15 customers are selected at random. What is the probability that exactly 10 customers will ask for hot peppers?
Conduct Quantitative Analysis
For Project 4, we are just asking for the sales figures for
2019 and 2020, which is given. Disregard Step 2 in the steps ...
Conduct Quantitative Analysis
For Project 4, we are just asking for the sales figures for
2019 and 2020, which is given. Disregard Step 2 in the steps to completion and
use the attached documents instead.Step 1: Refresh Your Math, Statistics and Excel Skills Step 2: Set Up Your Spreadsheet Use template Step 3: Add Data In Section 1 on the Data page, complete each column of the spreadsheet to arrive at the desired calculations. When you're ready, move on to the next step, where you will use functions to summarize the data. Step 4: Use Functions to Summarize the Data With this step complete, you’re ready to begin your analysis. Step 5: Analyze the Workforce You will be working in section 3 of the Data tab in the spreadsheet to complete the descriptive statistics for the five categories (Salary, Hourly Rate, Years of Service, Education, and Age). Using Excel formulas, complete the table. After you have used Excel formulas to find this information, you will next use the Toolpak to find your summary statistics. Step 6: Use the Analysis Toolpak you will now use the Analysis Toolpak to do those same functions. This is a handy feature to know. Remember that there may be some minor differences in the answers depending on the version. You should now have Tab 2 complete: Excel Summary Stats. Next, you’ll create charts and a histogram for Tabs 3 and 4 Step 7: Create Charts and a Histogram In this step, you will build Tab 3: Graphs—Charts and Tab 4: Histogram. After you complete these tabs, you’ll be ready to sort the data. Step 8: Copy and Sort the Data In this step, you will create Tab 5: Sorted Data. When you’re finished, you’ll be ready to conduct your quantitative analysis. Step 9: Conduct Quantitative Analysis Apply your quantitative reasoning skills to answer five questions that demonstrate your interpretation of the data. The questions are located on the QR Questions_Responses tab in your workbook. After you have answered the five questions, please finish the project by writing a short essay. Your short essay will include: a one-paragraph narrative summary of your findings, describing patterns of interest an explanation of the potential relevance of such patterns a description of how you would investigate further to determine if your results could be perceived as good or bad for the company. Prepare your responses in your workbook on the QR Questions_Responses tab. Step 10: Submit Your Completed Workbook and Analysis You’re now ready to submit your workbook and analysis for review and feedback. Review the requirements for the final deliverable to be sure you have: Excel Workbook with Six Tabs Tab 1: Data – completed data sheet (Steps 1–6 above) Tab 2: Excel Summary Stats (Step 6) Tab 3: Graphs – Charts (Step 7) Tab 4: Histogram (Step 7) Tab 5: Sorted Data (Step 8) Quantitative Analysis (Step 9; see detail below and move to first position upon completion.) Quantitative Analysis: Answers to Questions and Short Essay Prepare your response in this workbook. Create a tab for Quantitative Analysis, create a text box, and paste your answers to the questions in it. Move the Quantitative Analysis tab to the first tab position. Your final workbook tabs: Quantitative Analysis Data Excel Summary Stats Graphs–Charts Histogram Sorted Data Format to Be Printed Format this workbook so that all the spreadsheets can be printed.
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
Sample Size and Power
Question 1: You wish to conduct an ANOVA (one way/omnibus) in your ASCI 691 capstone project. In order to insure you have ...
Sample Size and Power
Question 1: You wish to conduct an ANOVA (one way/omnibus) in your ASCI 691 capstone project. In order to insure you have enough power to detect differences in your sample, you need to run a power analysis in G*Power. Assume that you are expecting a medium effect size (0.5), α = 0.05, and a minimum power of 0.90. Your experiment utilizes three (3) groups. What is the required sample size (a priori)? How many data points should exist in each group? Question 2: You conducted a Chi-Square Goodness of Fit Test in your ASCI 691 capstone project. Unfortunately, you did not get the sample size you had hoped for during your research. You were able to get 65 in the sample. Calculate your actual power (post hoc). You did a 2 X 2 table. Assume you had a medium effect size.
HLT 362V GCU Experimental and Non Experimental Research Questions
Question 1Provide an example of
experimental, quasi-experimental, and nonexperimental research from the GCU
Library and ...
HLT 362V GCU Experimental and Non Experimental Research Questions
Question 1Provide an example of
experimental, quasi-experimental, and nonexperimental research from the GCU
Library and explain how each research type differs from the others. When
replying to peers, evaluate the effectiveness of the research design of the
study for two of the examples provided.Own Reference listQuestion 2Describe
the difference between research and quality improvement. Provide a workplace
example where qualitative and quantitative research is applied and how it was
used within your organization. When replying to peers, discuss how these
research findings might be incorporated into another health care setting.Own Reference
list1-2
references eachNo word
count
Strayer University Week 7 Lazer Company Hypothesis Testing Discussion
WEEK 7 ACTIVITY - HYPOTHESIS TESTINGDUE NOVEMBER 22, 2021
Hypothesis Testing
The Lazer Company has a contract to produce a ...
Strayer University Week 7 Lazer Company Hypothesis Testing Discussion
WEEK 7 ACTIVITY - HYPOTHESIS TESTINGDUE NOVEMBER 22, 2021
Hypothesis Testing
The Lazer Company has a contract to produce a part for Boeing Corporation that must have an average diameter of 6 inches and a standard deviation of 0.10 inch. The Lazer Company has developed a process that will meet the specifications with respect to the standard deviation, but it is still trying to meet the mean specifications. A test run (considered a random sample) of parts was produced, and the company wishes to determine whether this latest process that produced the sample will produce parts meeting the requirement of an average diameter equal to 6 inches.
Use Excel to:
Construct the appropriate null and alternative hypotheses with correct parameters.
Develop the decision rule assuming that the sample size is 200 parts and the significance level is 0.01.
In a Word document:
Recommend what the Lazer Company should conclude if the sample mean diameter for the 200 parts is 6.03 inches.
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Most Popular Content
Elly's Hotdog Emporium is famous for its chilidogs, Probability assignment help
Elly's Hotdog Emporium is famous for its chilidogs. Elly's latest sales indicate that 30% of the customers order their chi ...
Elly's Hotdog Emporium is famous for its chilidogs, Probability assignment help
Elly's Hotdog Emporium is famous for its chilidogs. Elly's latest sales indicate that 30% of the customers order their chilidogs with hot peppers. Suppose 15 customers are selected at random. What is the probability that exactly 10 customers will ask for hot peppers?
Conduct Quantitative Analysis
For Project 4, we are just asking for the sales figures for
2019 and 2020, which is given. Disregard Step 2 in the steps ...
Conduct Quantitative Analysis
For Project 4, we are just asking for the sales figures for
2019 and 2020, which is given. Disregard Step 2 in the steps to completion and
use the attached documents instead.Step 1: Refresh Your Math, Statistics and Excel Skills Step 2: Set Up Your Spreadsheet Use template Step 3: Add Data In Section 1 on the Data page, complete each column of the spreadsheet to arrive at the desired calculations. When you're ready, move on to the next step, where you will use functions to summarize the data. Step 4: Use Functions to Summarize the Data With this step complete, you’re ready to begin your analysis. Step 5: Analyze the Workforce You will be working in section 3 of the Data tab in the spreadsheet to complete the descriptive statistics for the five categories (Salary, Hourly Rate, Years of Service, Education, and Age). Using Excel formulas, complete the table. After you have used Excel formulas to find this information, you will next use the Toolpak to find your summary statistics. Step 6: Use the Analysis Toolpak you will now use the Analysis Toolpak to do those same functions. This is a handy feature to know. Remember that there may be some minor differences in the answers depending on the version. You should now have Tab 2 complete: Excel Summary Stats. Next, you’ll create charts and a histogram for Tabs 3 and 4 Step 7: Create Charts and a Histogram In this step, you will build Tab 3: Graphs—Charts and Tab 4: Histogram. After you complete these tabs, you’ll be ready to sort the data. Step 8: Copy and Sort the Data In this step, you will create Tab 5: Sorted Data. When you’re finished, you’ll be ready to conduct your quantitative analysis. Step 9: Conduct Quantitative Analysis Apply your quantitative reasoning skills to answer five questions that demonstrate your interpretation of the data. The questions are located on the QR Questions_Responses tab in your workbook. After you have answered the five questions, please finish the project by writing a short essay. Your short essay will include: a one-paragraph narrative summary of your findings, describing patterns of interest an explanation of the potential relevance of such patterns a description of how you would investigate further to determine if your results could be perceived as good or bad for the company. Prepare your responses in your workbook on the QR Questions_Responses tab. Step 10: Submit Your Completed Workbook and Analysis You’re now ready to submit your workbook and analysis for review and feedback. Review the requirements for the final deliverable to be sure you have: Excel Workbook with Six Tabs Tab 1: Data – completed data sheet (Steps 1–6 above) Tab 2: Excel Summary Stats (Step 6) Tab 3: Graphs – Charts (Step 7) Tab 4: Histogram (Step 7) Tab 5: Sorted Data (Step 8) Quantitative Analysis (Step 9; see detail below and move to first position upon completion.) Quantitative Analysis: Answers to Questions and Short Essay Prepare your response in this workbook. Create a tab for Quantitative Analysis, create a text box, and paste your answers to the questions in it. Move the Quantitative Analysis tab to the first tab position. Your final workbook tabs: Quantitative Analysis Data Excel Summary Stats Graphs–Charts Histogram Sorted Data Format to Be Printed Format this workbook so that all the spreadsheets can be printed.
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
Sample Size and Power
Question 1: You wish to conduct an ANOVA (one way/omnibus) in your ASCI 691 capstone project. In order to insure you have ...
Sample Size and Power
Question 1: You wish to conduct an ANOVA (one way/omnibus) in your ASCI 691 capstone project. In order to insure you have enough power to detect differences in your sample, you need to run a power analysis in G*Power. Assume that you are expecting a medium effect size (0.5), α = 0.05, and a minimum power of 0.90. Your experiment utilizes three (3) groups. What is the required sample size (a priori)? How many data points should exist in each group? Question 2: You conducted a Chi-Square Goodness of Fit Test in your ASCI 691 capstone project. Unfortunately, you did not get the sample size you had hoped for during your research. You were able to get 65 in the sample. Calculate your actual power (post hoc). You did a 2 X 2 table. Assume you had a medium effect size.
HLT 362V GCU Experimental and Non Experimental Research Questions
Question 1Provide an example of
experimental, quasi-experimental, and nonexperimental research from the GCU
Library and ...
HLT 362V GCU Experimental and Non Experimental Research Questions
Question 1Provide an example of
experimental, quasi-experimental, and nonexperimental research from the GCU
Library and explain how each research type differs from the others. When
replying to peers, evaluate the effectiveness of the research design of the
study for two of the examples provided.Own Reference listQuestion 2Describe
the difference between research and quality improvement. Provide a workplace
example where qualitative and quantitative research is applied and how it was
used within your organization. When replying to peers, discuss how these
research findings might be incorporated into another health care setting.Own Reference
list1-2
references eachNo word
count
Strayer University Week 7 Lazer Company Hypothesis Testing Discussion
WEEK 7 ACTIVITY - HYPOTHESIS TESTINGDUE NOVEMBER 22, 2021
Hypothesis Testing
The Lazer Company has a contract to produce a ...
Strayer University Week 7 Lazer Company Hypothesis Testing Discussion
WEEK 7 ACTIVITY - HYPOTHESIS TESTINGDUE NOVEMBER 22, 2021
Hypothesis Testing
The Lazer Company has a contract to produce a part for Boeing Corporation that must have an average diameter of 6 inches and a standard deviation of 0.10 inch. The Lazer Company has developed a process that will meet the specifications with respect to the standard deviation, but it is still trying to meet the mean specifications. A test run (considered a random sample) of parts was produced, and the company wishes to determine whether this latest process that produced the sample will produce parts meeting the requirement of an average diameter equal to 6 inches.
Use Excel to:
Construct the appropriate null and alternative hypotheses with correct parameters.
Develop the decision rule assuming that the sample size is 200 parts and the significance level is 0.01.
In a Word document:
Recommend what the Lazer Company should conclude if the sample mean diameter for the 200 parts is 6.03 inches.
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