Description
x^13/x^7
Exponential exponents , positive
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Explanation & Answer
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x^13/x^7
=x^(13 -7) ( because a^m / a^n =a^(m-n) )
= x^(6)
answer is
x^ 6
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Multiple Logistic Regression in Action Report
Assignment: Multiple Logistic Regression in Action
Multiple logistic regression is a model that uses analysis of predictor ...
Multiple Logistic Regression in Action Report
Assignment: Multiple Logistic Regression in Action
Multiple logistic regression is a model that uses analysis of predictor variables to make predictions as to the likelihood of occurrences of an outcome.
For this Assignment, you use multiple logistic regression to analyze a dataset. You identify assumptions required by multiple logistic regression and evaluate whether they have been met by the data. Finally, you interpret your results and evaluate the use of multiple logistic regression.
The Assignment
Use the Week 7 Dataset (SPSS document) from the Learning Resources area to complete this assignment.
Variables and variable selection (20 Points)
Use a table to list the variables, Sex, Age in Years, Serum Cholesterol, Obese, and Hypertension, and each of their levels of measurement. (10 Points)
Create new variables Age_Cat and Chole_Cat:
Age_Cat: Convert Age in Years into a categorical variable with 2 categories, Less than 40, 40 and greater
Chole_Cat: Convert Serum Cholesterol into 3 categories, Under 200, 200-299, and 300 and greater
Add the new variables to each record by coding the responses to the original variable using the assigned categories. Be sure that the variable view in SPSS has the correct information on the 2 new variables. (10 Points)
Simple Binary Logistic Regression (30 Points)
Use Hypertension as the dependent variable and Chole_Cat as the independent variable in the first model. Report the Odds Ratio and significance of the Odds Ratio for the relationship between the dependent and independent variables. (10 Points)
Use Hypertension as the dependent variable and Serum Cholesterol (the original variable) as the independent variable in the second model. Report the Odds Ratio and significance of the Odds Ratio for the relationship between the dependent and independent variables. (10 Points)
How does the level of measurement for the independent variable affect the outcome (include the OR and its significance in your response)? How does the level of measurement of the independent variable change your interpretation of the Odds Ratio? (10 Points)
Multivariate Logistic Regression (50 Points)
Run a multivariate binary logistic regression model using SPSS and Hypertension as the dependent variable, Chole_Cat, Age_Cat, Obese, and Sex as the Covariates. Include the output in your submission. (10 Points)
Identify the Odds Ratio and the significance of the Odds Ratio for each of the covariates. How has the relationship between Chole_Cat and Hypertension changed with the addition of the other variables (compare to the output from # 2a)? (15 Points)
Test the assumption that the model fits the data using the Hosmer-Lemeshow Goodness of Fit test. Interpret the Chi Square statistic given in the output of this test and state what it means in terms of the assumptions needed to use logistic regression with this data. (10 Points)
Rerun the logistic regression model from #3a and use the save function to create the following new variables: Predicted Probabilities, Deviance Residuals, and Cook’s Distance. Evaluate the model using these saved variables and the following Scatter Plots. (15 Points)
Create a Scatter Plot of the Deviance Residuals (DEV) and the variable ID: Are there any outliers? What does this mean when evaluating your model?
Create a Scatter Plot of Cook’s Distance (COO) and the variable ID: Are there any influential cases? What does this mean when evaluating your model?
Create a Scatter Plot of Deviance (DEV) and the Predicted Probabilities (PRE). Discuss whether anything in this scatterplot could cause you some concern in terms of your model.
STAT 2002 Walden University Week 6 Statistical Process Control to Manage Processes PPT
Backround: For this Assignment, you will be tasked with creating a presentation for a group of business leaders to explain ...
STAT 2002 Walden University Week 6 Statistical Process Control to Manage Processes PPT
Backround: For this Assignment, you will be tasked with creating a presentation for a group of business leaders to explain statistical process control (SPC) and to identify some examples of the use of SPC to promote sound business decisions.You work as a business analyst within the IT Department of XYZ Corporation and have just been put on assignment as a consultant to a health care organization. In this organization, there is a clinical “Nurse Helpline” call center, which has a staff of several experienced nurses and nurse practitioners to answer telephone calls from outpatients who have concerns about their health or the treatment or medications they are receiving from the hospital. One of the leading metrics in this call center is hold times. They have a standard that any call placed on hold is not in hold status for more than 2 minutes before an interaction with a nurse. Every day, each clinic records the number of calls and the number of calls on hold answered in less than 2 minutes. The management team has concerns about the number of calls that have hold times greater than 2 minutes. They want to employ a more formal quality control process that would allow them to get ahead of the problem, which is why you have been consulted.During your initial interactions with the hospital and management team, you talk informally about the use of statistical process control (SPC). You soon realize, however, that some members of the management team may not have a true understanding of how SPC would work in their organization. One member in particular asks a surprising question that makes you wonder if part of the management team is missing even a basic understanding of SPC. So, you decide to create a presentation that explains what statistical process control is and provide the management team with some examples of how SPC can be used in a business context to promote sound decision making. To support the information that you provide in your presentation, be sure to reference a minimum of four properly formatted, scholarly sources.Power point presentation with speaker notes- Please use the power point template, because I will need to submit it !Part 1: Explaining Statistical Process Control (8–10 slides, with speaker’s notes)Define statistical process control (SPC) and briefly describe the history of SPC, focusing on its origins. (2 slides)Provide an example of a control chart (either one you create or one you locate on the web) and label the parts of the chart. (1 slide)Describe the derivation of the center line and control limits on a control chart and the meaning of each. (1–2 slides)Explain the two types of process variation—common cause and special cause. (2 slides)Describe at least two signals of special cause variation that might be detected in a control chart. (2–3 slides)Part 2: Applications of SPC in Business Decision Making (5–8 slides, with speaker’s notes)Identify at least two examples of the application of SPC in a business context. Select examples from multiple industries (e.g., manufacturing, health care, and service). For each example, describe how SPC was used to improve process, achieve better outcomes, and support sound decision making. (2–4 slides)For each type of process variation, describe the implications for management action. (2 slides) In conclusion, provide three potential benefits of SPC to the health care organization. Specifically, how might SPC help the company make sound decisions to the end of achieving its goals? Also, what, if any, drawbacks do you see to using SPC? Identify two possible risks of the use of SPC that the organization should be aware of. (1–2 slides)Note: Your presentation should adhere to the template provided. It should consist of 13–18 slides, not including the title slide and References slide that includes properly formatted citations for a minimum of four scholarly sources to support the information you presented. You should also include detailed speaker notes, to be used as a script for delivering the presentationTRY TO FOLLOW THE POWER POINT TEMPLATE!
COURSE PROJECT 4 PARTS: Essentail Statisitcs and Analytics
Essential Statistics and Analytics Option 2 Introduction: As a healthcare professional, you will work to improve and ...
COURSE PROJECT 4 PARTS: Essentail Statisitcs and Analytics
Essential Statistics and Analytics Option 2 Introduction: As a healthcare professional, you will work to improve and maintain the health of individuals, families, and communities in various settings. Basic statistical analysis can be used to gain an understanding of current problems. Understanding the current situation is the first step in discovering where an opportunity for improvement exists. This course project will assist you in applying basic statistical principles to a fictional scenario in order to impact the health and wellbeing of the clients being served. Scenario: NCLEX Memorial Hospital You are currently working at NCLEX Memorial Hospital in the Infectious Diseases Unit. Over the past few days, you have noticed an increase in patients admitted with a particular infectious disease. You believe that the ages of these patients play a critical role in the method used to treat the patients. You decide to speak to your manager and together you work to use statistical analysis to look more closely at the ages of these patients. You do some research and put together a spreadsheet of the data that contains the following information: Client numberInfection Disease StatusAge of the patient You need the preliminary findings immediately so that you can start treating these patients. Time to get to work!!!! Background information on the Data: The data set consists of 60 patients that have the infectious disease with ages ranging from 35 years of age to 76 years of age for NCLEX Memorial Hospital. Remember this assignment will be completed over the duration of the course. The requirements for each assignment are as follows: Instructions for Each Assignment in the Course Project Part 1 -- Submit during Module 02: Your analysis of this data set should include the following: Introduce your scenario and data set. Provide a brief overview of the scenario you are given above and the data set that you will be analyzing. Classify the variables in your data set. Summarize and graph your data. Choosing one of the quantitative variables from your data set, construct a frequency distribution that has a minimum of 5 classes (please do not include more than 10 classes). The frequency distribution should contain the following columns: Interpret the results of your frequency distribution in context of your chosen scenario. Using the same variable from your frequency distribution, construct a histogram. Conclusion Recap your ideas by summarizing the information presented. This assignment should be formatted using APA guidelines and be a minimum of 2 pages in length. Part 2 -- Submit during Module 03: Discuss the importance of the Measures of Center and the Measures of Variation. What are the measures of center and why are they important? What are the measures of variation and why are they important? Using the variable that you analyzed in Part 1, calculate the measures of center and measures of variation. Interpret your results in context of your chosen scenario. Mean Median Mode Midrange Range Variance Standard Deviation Perform an exploratory data analysis on your variable by calculating the 5-number summary. Interpret your results in context of your chosen scenario. Conclusion Recap your ideas by summarizing the information presented. This assignment should be formatted using APA guidelines and be a minimum of 2 pages in length. Part 3 -- Submit during Module 04: Introduce your assignment with a discussion of probability distributions. What is a probability distribution? What are the requirements for a probability distribution? How are probability distributions helpful for the analysis of your chosen scenario? Using the discrete/quantitative variable that you analyzed in Part 1, construct a probability distribution for the data. Interpret your results in context of your chosen scenario. Calculate the parameters of your probability distribution. Interpret your results in context of your chosen scenario. Mean Variance Standard Deviation Use the Range Rule of Thumb to identify any unusual results. Interpret your results in context of your chosen scenario. Conclusion Recap your ideas by summarizing the information presented. This assignment should be formatted using APA guidelines and be a minimum of 2 pages in length. Part 4 -- Submit during Module 05: Using all of your Course Project Assignments (from Parts 1, 2, and 3), create a Microsoft PowerPoint Presentation that summarizes your analysis. Your PowerPoint should include the following: Slide 1: Title PageSlide 2: Description of your chosen scenario and data set and introduce the variable(s) used for your analysisSlide 3: Frequency Distribution and Histogram for the discrete variable that you analyzed. Interpret your distribution and histogram in context of your chosen scenario.Slide 4: Measures of Central Tendency Interpret your results in context of your chosen scenario.Slide 5: Measures of VariationInterpret your results in context of your chosen scenario.Slide 6: Probability distribution for your variable(s)Interpret your results in context of your chosen scenario. Slide 7: Include the Mean, Variance and Standard deviation of your probability distributionInterpret your results in context of your chosen scenario. Discuss any unusual values identified from your analysis.Slide 8: ConclusionRecap your ideas by summarizing the information presented.Slide 9: References in APA formatGive credit to any sources used for your analysis This assignment should be formatted using APA guidelines and a minimum of 9 slides in length.
queueing theory
i have 3 questionsQ1 The post office uses a multiple channel queue, where customers wait in a single line for the first ...
queueing theory
i have 3 questionsQ1 The post office uses a multiple channel queue, where customers wait in a single line for the first available window. If the average service time is 1 minute and the arrival rate is 7 customers every five minutes, using the Queuing.xlsx calculator tool, find, when two service windows are open, a. the probability both windows are idle. b. the average number of customers waiting in line. c. the average time a customer is in line. d. the average time a customer is in the post office. Q2 Circle Electric Supply is considering opening a second service counter to better serve the electrical contractor customers. The arrival rate is 10 per hour. The service rate is 14 per hour. If the cost of waiting is $30 and the cost of each service counter is $22 per hour, then should the second counter be opened? Q3 A company has tool cribs where workmen draw parts. Two men have applied for the position of distributing parts to the workmen. George Fuller is fresh out of trade school and expects a $6 per hour salary. His average service time is 4 minutes. John Cox is a veteran who expects $12 per hour. His average service time is 2 minutes. A workman's time is figured at $10 per hour. Workmen arrive to draw parts at an average rate of 12 per hour. a. What is the average waiting time a workman would spend in the system under each applicant? b. Which applicant should be hired?
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Most Popular Content
Multiple Logistic Regression in Action Report
Assignment: Multiple Logistic Regression in Action
Multiple logistic regression is a model that uses analysis of predictor ...
Multiple Logistic Regression in Action Report
Assignment: Multiple Logistic Regression in Action
Multiple logistic regression is a model that uses analysis of predictor variables to make predictions as to the likelihood of occurrences of an outcome.
For this Assignment, you use multiple logistic regression to analyze a dataset. You identify assumptions required by multiple logistic regression and evaluate whether they have been met by the data. Finally, you interpret your results and evaluate the use of multiple logistic regression.
The Assignment
Use the Week 7 Dataset (SPSS document) from the Learning Resources area to complete this assignment.
Variables and variable selection (20 Points)
Use a table to list the variables, Sex, Age in Years, Serum Cholesterol, Obese, and Hypertension, and each of their levels of measurement. (10 Points)
Create new variables Age_Cat and Chole_Cat:
Age_Cat: Convert Age in Years into a categorical variable with 2 categories, Less than 40, 40 and greater
Chole_Cat: Convert Serum Cholesterol into 3 categories, Under 200, 200-299, and 300 and greater
Add the new variables to each record by coding the responses to the original variable using the assigned categories. Be sure that the variable view in SPSS has the correct information on the 2 new variables. (10 Points)
Simple Binary Logistic Regression (30 Points)
Use Hypertension as the dependent variable and Chole_Cat as the independent variable in the first model. Report the Odds Ratio and significance of the Odds Ratio for the relationship between the dependent and independent variables. (10 Points)
Use Hypertension as the dependent variable and Serum Cholesterol (the original variable) as the independent variable in the second model. Report the Odds Ratio and significance of the Odds Ratio for the relationship between the dependent and independent variables. (10 Points)
How does the level of measurement for the independent variable affect the outcome (include the OR and its significance in your response)? How does the level of measurement of the independent variable change your interpretation of the Odds Ratio? (10 Points)
Multivariate Logistic Regression (50 Points)
Run a multivariate binary logistic regression model using SPSS and Hypertension as the dependent variable, Chole_Cat, Age_Cat, Obese, and Sex as the Covariates. Include the output in your submission. (10 Points)
Identify the Odds Ratio and the significance of the Odds Ratio for each of the covariates. How has the relationship between Chole_Cat and Hypertension changed with the addition of the other variables (compare to the output from # 2a)? (15 Points)
Test the assumption that the model fits the data using the Hosmer-Lemeshow Goodness of Fit test. Interpret the Chi Square statistic given in the output of this test and state what it means in terms of the assumptions needed to use logistic regression with this data. (10 Points)
Rerun the logistic regression model from #3a and use the save function to create the following new variables: Predicted Probabilities, Deviance Residuals, and Cook’s Distance. Evaluate the model using these saved variables and the following Scatter Plots. (15 Points)
Create a Scatter Plot of the Deviance Residuals (DEV) and the variable ID: Are there any outliers? What does this mean when evaluating your model?
Create a Scatter Plot of Cook’s Distance (COO) and the variable ID: Are there any influential cases? What does this mean when evaluating your model?
Create a Scatter Plot of Deviance (DEV) and the Predicted Probabilities (PRE). Discuss whether anything in this scatterplot could cause you some concern in terms of your model.
STAT 2002 Walden University Week 6 Statistical Process Control to Manage Processes PPT
Backround: For this Assignment, you will be tasked with creating a presentation for a group of business leaders to explain ...
STAT 2002 Walden University Week 6 Statistical Process Control to Manage Processes PPT
Backround: For this Assignment, you will be tasked with creating a presentation for a group of business leaders to explain statistical process control (SPC) and to identify some examples of the use of SPC to promote sound business decisions.You work as a business analyst within the IT Department of XYZ Corporation and have just been put on assignment as a consultant to a health care organization. In this organization, there is a clinical “Nurse Helpline” call center, which has a staff of several experienced nurses and nurse practitioners to answer telephone calls from outpatients who have concerns about their health or the treatment or medications they are receiving from the hospital. One of the leading metrics in this call center is hold times. They have a standard that any call placed on hold is not in hold status for more than 2 minutes before an interaction with a nurse. Every day, each clinic records the number of calls and the number of calls on hold answered in less than 2 minutes. The management team has concerns about the number of calls that have hold times greater than 2 minutes. They want to employ a more formal quality control process that would allow them to get ahead of the problem, which is why you have been consulted.During your initial interactions with the hospital and management team, you talk informally about the use of statistical process control (SPC). You soon realize, however, that some members of the management team may not have a true understanding of how SPC would work in their organization. One member in particular asks a surprising question that makes you wonder if part of the management team is missing even a basic understanding of SPC. So, you decide to create a presentation that explains what statistical process control is and provide the management team with some examples of how SPC can be used in a business context to promote sound decision making. To support the information that you provide in your presentation, be sure to reference a minimum of four properly formatted, scholarly sources.Power point presentation with speaker notes- Please use the power point template, because I will need to submit it !Part 1: Explaining Statistical Process Control (8–10 slides, with speaker’s notes)Define statistical process control (SPC) and briefly describe the history of SPC, focusing on its origins. (2 slides)Provide an example of a control chart (either one you create or one you locate on the web) and label the parts of the chart. (1 slide)Describe the derivation of the center line and control limits on a control chart and the meaning of each. (1–2 slides)Explain the two types of process variation—common cause and special cause. (2 slides)Describe at least two signals of special cause variation that might be detected in a control chart. (2–3 slides)Part 2: Applications of SPC in Business Decision Making (5–8 slides, with speaker’s notes)Identify at least two examples of the application of SPC in a business context. Select examples from multiple industries (e.g., manufacturing, health care, and service). For each example, describe how SPC was used to improve process, achieve better outcomes, and support sound decision making. (2–4 slides)For each type of process variation, describe the implications for management action. (2 slides) In conclusion, provide three potential benefits of SPC to the health care organization. Specifically, how might SPC help the company make sound decisions to the end of achieving its goals? Also, what, if any, drawbacks do you see to using SPC? Identify two possible risks of the use of SPC that the organization should be aware of. (1–2 slides)Note: Your presentation should adhere to the template provided. It should consist of 13–18 slides, not including the title slide and References slide that includes properly formatted citations for a minimum of four scholarly sources to support the information you presented. You should also include detailed speaker notes, to be used as a script for delivering the presentationTRY TO FOLLOW THE POWER POINT TEMPLATE!
COURSE PROJECT 4 PARTS: Essentail Statisitcs and Analytics
Essential Statistics and Analytics Option 2 Introduction: As a healthcare professional, you will work to improve and ...
COURSE PROJECT 4 PARTS: Essentail Statisitcs and Analytics
Essential Statistics and Analytics Option 2 Introduction: As a healthcare professional, you will work to improve and maintain the health of individuals, families, and communities in various settings. Basic statistical analysis can be used to gain an understanding of current problems. Understanding the current situation is the first step in discovering where an opportunity for improvement exists. This course project will assist you in applying basic statistical principles to a fictional scenario in order to impact the health and wellbeing of the clients being served. Scenario: NCLEX Memorial Hospital You are currently working at NCLEX Memorial Hospital in the Infectious Diseases Unit. Over the past few days, you have noticed an increase in patients admitted with a particular infectious disease. You believe that the ages of these patients play a critical role in the method used to treat the patients. You decide to speak to your manager and together you work to use statistical analysis to look more closely at the ages of these patients. You do some research and put together a spreadsheet of the data that contains the following information: Client numberInfection Disease StatusAge of the patient You need the preliminary findings immediately so that you can start treating these patients. Time to get to work!!!! Background information on the Data: The data set consists of 60 patients that have the infectious disease with ages ranging from 35 years of age to 76 years of age for NCLEX Memorial Hospital. Remember this assignment will be completed over the duration of the course. The requirements for each assignment are as follows: Instructions for Each Assignment in the Course Project Part 1 -- Submit during Module 02: Your analysis of this data set should include the following: Introduce your scenario and data set. Provide a brief overview of the scenario you are given above and the data set that you will be analyzing. Classify the variables in your data set. Summarize and graph your data. Choosing one of the quantitative variables from your data set, construct a frequency distribution that has a minimum of 5 classes (please do not include more than 10 classes). The frequency distribution should contain the following columns: Interpret the results of your frequency distribution in context of your chosen scenario. Using the same variable from your frequency distribution, construct a histogram. Conclusion Recap your ideas by summarizing the information presented. This assignment should be formatted using APA guidelines and be a minimum of 2 pages in length. Part 2 -- Submit during Module 03: Discuss the importance of the Measures of Center and the Measures of Variation. What are the measures of center and why are they important? What are the measures of variation and why are they important? Using the variable that you analyzed in Part 1, calculate the measures of center and measures of variation. Interpret your results in context of your chosen scenario. Mean Median Mode Midrange Range Variance Standard Deviation Perform an exploratory data analysis on your variable by calculating the 5-number summary. Interpret your results in context of your chosen scenario. Conclusion Recap your ideas by summarizing the information presented. This assignment should be formatted using APA guidelines and be a minimum of 2 pages in length. Part 3 -- Submit during Module 04: Introduce your assignment with a discussion of probability distributions. What is a probability distribution? What are the requirements for a probability distribution? How are probability distributions helpful for the analysis of your chosen scenario? Using the discrete/quantitative variable that you analyzed in Part 1, construct a probability distribution for the data. Interpret your results in context of your chosen scenario. Calculate the parameters of your probability distribution. Interpret your results in context of your chosen scenario. Mean Variance Standard Deviation Use the Range Rule of Thumb to identify any unusual results. Interpret your results in context of your chosen scenario. Conclusion Recap your ideas by summarizing the information presented. This assignment should be formatted using APA guidelines and be a minimum of 2 pages in length. Part 4 -- Submit during Module 05: Using all of your Course Project Assignments (from Parts 1, 2, and 3), create a Microsoft PowerPoint Presentation that summarizes your analysis. Your PowerPoint should include the following: Slide 1: Title PageSlide 2: Description of your chosen scenario and data set and introduce the variable(s) used for your analysisSlide 3: Frequency Distribution and Histogram for the discrete variable that you analyzed. Interpret your distribution and histogram in context of your chosen scenario.Slide 4: Measures of Central Tendency Interpret your results in context of your chosen scenario.Slide 5: Measures of VariationInterpret your results in context of your chosen scenario.Slide 6: Probability distribution for your variable(s)Interpret your results in context of your chosen scenario. Slide 7: Include the Mean, Variance and Standard deviation of your probability distributionInterpret your results in context of your chosen scenario. Discuss any unusual values identified from your analysis.Slide 8: ConclusionRecap your ideas by summarizing the information presented.Slide 9: References in APA formatGive credit to any sources used for your analysis This assignment should be formatted using APA guidelines and a minimum of 9 slides in length.
queueing theory
i have 3 questionsQ1 The post office uses a multiple channel queue, where customers wait in a single line for the first ...
queueing theory
i have 3 questionsQ1 The post office uses a multiple channel queue, where customers wait in a single line for the first available window. If the average service time is 1 minute and the arrival rate is 7 customers every five minutes, using the Queuing.xlsx calculator tool, find, when two service windows are open, a. the probability both windows are idle. b. the average number of customers waiting in line. c. the average time a customer is in line. d. the average time a customer is in the post office. Q2 Circle Electric Supply is considering opening a second service counter to better serve the electrical contractor customers. The arrival rate is 10 per hour. The service rate is 14 per hour. If the cost of waiting is $30 and the cost of each service counter is $22 per hour, then should the second counter be opened? Q3 A company has tool cribs where workmen draw parts. Two men have applied for the position of distributing parts to the workmen. George Fuller is fresh out of trade school and expects a $6 per hour salary. His average service time is 4 minutes. John Cox is a veteran who expects $12 per hour. His average service time is 2 minutes. A workman's time is figured at $10 per hour. Workmen arrive to draw parts at an average rate of 12 per hour. a. What is the average waiting time a workman would spend in the system under each applicant? b. Which applicant should be hired?
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