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Week 4 MIS-690 Model Building Assignment
DQ1What are the general steps taken to build an analytics model? Please
provide examples.DQ 2When building a model, ho ...
Week 4 MIS-690 Model Building Assignment
DQ1What are the general steps taken to build an analytics model? Please
provide examples.DQ 2When building a model, how do you know if it is the correct one? Are
you able to trust the model that you built in order to apply the data
correctly to solve a company's problem?AssignmentYou will need to build a model that will solve the problem that you
have identified. Use one or more of the following software
applications: IBM SPSS Modeler, SPSS Statistics, Excel, Tableau, or R.Write a 500-750 word paper describing your model. It will include
the following: What models did you build? Why did you choose this
model(s)? Be sure that this model specifically ties back to the
business problem you created for the Topic 1 assignment.
What variables did you include or leave out and why?
Provide specific screenshots from the modeling software in your
paper. Provide the raw software files that you used for this assignment
(IBM SPSS Modeler, SPSS Statistics, Excel, Tableau, or R). If R was
used, provide a *.txt file of all the commands used.Prepare this assignment according to the guidelines found in the APA
Style Guide, located in the Student Success Center. An abstract is not required.This assignment uses a rubric. Please review the rubric prior to
beginning the assignment to become familiar with the expectations for
successful completion.
PMU Probability Statistics Data Distribution Project Paper
Submit the project online via Blackboard in word format. Paste the snapshots of all the work you made in excel or Minitab. ...
PMU Probability Statistics Data Distribution Project Paper
Submit the project online via Blackboard in word format. Paste the snapshots of all the work you made in excel or Minitab. Write complete summary, reasoning, or discussion wherever asked. Refer to the Lincolnville School District Bus data, which report information on the school district’s bus fleet.probability statistics see the file
DATCB 565 University of Phoenix Data Analysis and Business Analytics Assessment
Assessment Information
Part 2 of the assessment gives you an opportunity to strengthen your skills in gathering and analyz ...
DATCB 565 University of Phoenix Data Analysis and Business Analytics Assessment
Assessment Information
Part 2 of the assessment gives you an opportunity to strengthen your skills in gathering and analyzing business-related information. It also provides a deeper understanding of how companies can look at globalization as part of their strategic and operational plans.
Part 2b: Hypothesis Testing
Your organization is evaluating the quality of its call center operations. One of the most important metrics in a call center is Time in Queue (TiQ), which is the time a customer has to wait before he/she is serviced by a Customer Service Representative (CSR). If a customer has to wait for too long, he/she is more likely to get discouraged and hang up. Furthermore, customers who have to wait too long in the queue typically report a negative overall experience with the call. You’ve conducted an exhaustive literature review and found that the average TiQ in your industry is 2.5 minutes (150 seconds).
Another important metric is Service Time (ST), also known as Handle Time, which is the time a CSR spends servicing the customer. CSR’s with more experience and deeper knowledge tend to resolve customer calls faster. Companies can improve average ST by providing more training to their CSR’s or even by channeling calls according to area of expertise. Last month your company had an average ST of approximately 3.5 minutes (210 seconds). In an effort to improve this metric, the company has implemented a new protocol that channels calls to CSR’s based on area of expertise. The new protocol (PE) is being tested side-by-side with the traditional (PT) protocol.
Download the Call Center Waiting Time database.
Each row in the database corresponds to a different call. Column variables are as follows.
ProtocolType: indicates protocol type, either PT or PE
QueueTime: Time in Queue, in seconds
ServiceTime: Service Time, in seconds
Perform a test of hypothesis to determine whether the average TiQ is lower than the industry standard of 2.5 minutes (150 seconds). Use a significance level ?=0.05.
Evaluate if the company should allocate more resources to improve its average TiQ.
Perform a test of hypothesis to determine whether the average ST with service protocol PE is lower than with the PT protocol. Use a significance level ?=0.05.
Assess if the new protocol served its purpose. (Hint: This should be a test of means for 2 independent groups).
Write a 175-word summary of your conclusions
MAT 274 GCU Wk 5 Hypothesis Testing and Confidence Intervals Problems Homework
1. A patient is classified as having gestational diabetes if their average glucose level is above 140 milligrams per decil ...
MAT 274 GCU Wk 5 Hypothesis Testing and Confidence Intervals Problems Homework
1. A patient is classified as having gestational diabetes if their average glucose level is above 140 milligrams per deciliter (mg/dl) one hour after a sugary drink is ingested. Rebecca's doctor is concerned that she may suffer from gestational diabetes. There is variation both in the actual glucose level and in the blood test that measures the level. Rebecca's measured glucose level one hour after ingesting the sugary drink varies according to the Normal distribution with μ= 140+# mg/dl and σ = #+1 mg/dl, where # is the last digit of your GCU student ID number. Using the Central Limit Theorem, determine the probability of Rebecca being diagnosed with gestational diabetes if her glucose level is measured: Once? #+2 times, where # is the last digit of your student ID? #+4 times, where # is the last digit of your student ID? Comment on the relationship between the probabilities observed in (a), (b), and (c). Explain, using concepts from lecture why this occurs and what it means in context. 2. Suppose next that we have even less knowledge of our patient, and we are only given the accuracy of the blood test and prevalence of the disease in our population. We are told that the blood test is 9# percent reliable, this means that the test will yield an accurate positive result in 9#% of the cases where the disease is actually present. Gestational diabetes affects #+1 percent of the population in our patient’s age group, and that our test has a false positive rate of #+4 percent. Use your knowledge of Bayes’ Theorem and Conditional Probabilities to compute the following quantities based on the information given only in part 2: If 100,000 people take the blood test, how many people would you expect to test positive and actually have gestational diabetes? What is the probability of having the disease given that you test positive? If 100,000 people take the blood test, how many people would you expect to test negative despite actually having gestational diabetes? What is the probability of having the disease given that you tested negative? Comment on what you observe in the above computations. How does the prevalence of the disease affect whether the test can be trusted?3. As we have seen in class, hypothesis testing and confidence intervals are the most common inferential tools used in statistics. Imagine that you have been tasked with designing an experiment to determine reliably if a patient should be diagnosed with diabetes based on their blood test results. Create a short outline of your experiment, including all of the following: A detailed discussion of your experimental design. How is randomization used in your sampling or assignment strategy? The type of inferential test utilized in your experiment. A formal statement of the null and alternative hypothesis for your test. A confidence interval for estimating the parameter in your test. An interpretation of your p-value and confidence interval, including what they mean in context of your experimental design *NOTE: USE THE ATTACHED EXCEL SHEET TO GENERATE YOUR VALUES FOR EACH PART OF THE PROJECT!This assignment uses a rubric and it should be reviewed before submission to ensure all expectations are being met.APA style is not required, but solid academic writing is expected. You are not required to submit this assignment to LopesWrite.*******Week 5 Homework*****Homework consists of 92 questions, I only need a B.
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Most Popular Content
Week 4 MIS-690 Model Building Assignment
DQ1What are the general steps taken to build an analytics model? Please
provide examples.DQ 2When building a model, ho ...
Week 4 MIS-690 Model Building Assignment
DQ1What are the general steps taken to build an analytics model? Please
provide examples.DQ 2When building a model, how do you know if it is the correct one? Are
you able to trust the model that you built in order to apply the data
correctly to solve a company's problem?AssignmentYou will need to build a model that will solve the problem that you
have identified. Use one or more of the following software
applications: IBM SPSS Modeler, SPSS Statistics, Excel, Tableau, or R.Write a 500-750 word paper describing your model. It will include
the following: What models did you build? Why did you choose this
model(s)? Be sure that this model specifically ties back to the
business problem you created for the Topic 1 assignment.
What variables did you include or leave out and why?
Provide specific screenshots from the modeling software in your
paper. Provide the raw software files that you used for this assignment
(IBM SPSS Modeler, SPSS Statistics, Excel, Tableau, or R). If R was
used, provide a *.txt file of all the commands used.Prepare this assignment according to the guidelines found in the APA
Style Guide, located in the Student Success Center. An abstract is not required.This assignment uses a rubric. Please review the rubric prior to
beginning the assignment to become familiar with the expectations for
successful completion.
PMU Probability Statistics Data Distribution Project Paper
Submit the project online via Blackboard in word format. Paste the snapshots of all the work you made in excel or Minitab. ...
PMU Probability Statistics Data Distribution Project Paper
Submit the project online via Blackboard in word format. Paste the snapshots of all the work you made in excel or Minitab. Write complete summary, reasoning, or discussion wherever asked. Refer to the Lincolnville School District Bus data, which report information on the school district’s bus fleet.probability statistics see the file
DATCB 565 University of Phoenix Data Analysis and Business Analytics Assessment
Assessment Information
Part 2 of the assessment gives you an opportunity to strengthen your skills in gathering and analyz ...
DATCB 565 University of Phoenix Data Analysis and Business Analytics Assessment
Assessment Information
Part 2 of the assessment gives you an opportunity to strengthen your skills in gathering and analyzing business-related information. It also provides a deeper understanding of how companies can look at globalization as part of their strategic and operational plans.
Part 2b: Hypothesis Testing
Your organization is evaluating the quality of its call center operations. One of the most important metrics in a call center is Time in Queue (TiQ), which is the time a customer has to wait before he/she is serviced by a Customer Service Representative (CSR). If a customer has to wait for too long, he/she is more likely to get discouraged and hang up. Furthermore, customers who have to wait too long in the queue typically report a negative overall experience with the call. You’ve conducted an exhaustive literature review and found that the average TiQ in your industry is 2.5 minutes (150 seconds).
Another important metric is Service Time (ST), also known as Handle Time, which is the time a CSR spends servicing the customer. CSR’s with more experience and deeper knowledge tend to resolve customer calls faster. Companies can improve average ST by providing more training to their CSR’s or even by channeling calls according to area of expertise. Last month your company had an average ST of approximately 3.5 minutes (210 seconds). In an effort to improve this metric, the company has implemented a new protocol that channels calls to CSR’s based on area of expertise. The new protocol (PE) is being tested side-by-side with the traditional (PT) protocol.
Download the Call Center Waiting Time database.
Each row in the database corresponds to a different call. Column variables are as follows.
ProtocolType: indicates protocol type, either PT or PE
QueueTime: Time in Queue, in seconds
ServiceTime: Service Time, in seconds
Perform a test of hypothesis to determine whether the average TiQ is lower than the industry standard of 2.5 minutes (150 seconds). Use a significance level ?=0.05.
Evaluate if the company should allocate more resources to improve its average TiQ.
Perform a test of hypothesis to determine whether the average ST with service protocol PE is lower than with the PT protocol. Use a significance level ?=0.05.
Assess if the new protocol served its purpose. (Hint: This should be a test of means for 2 independent groups).
Write a 175-word summary of your conclusions
MAT 274 GCU Wk 5 Hypothesis Testing and Confidence Intervals Problems Homework
1. A patient is classified as having gestational diabetes if their average glucose level is above 140 milligrams per decil ...
MAT 274 GCU Wk 5 Hypothesis Testing and Confidence Intervals Problems Homework
1. A patient is classified as having gestational diabetes if their average glucose level is above 140 milligrams per deciliter (mg/dl) one hour after a sugary drink is ingested. Rebecca's doctor is concerned that she may suffer from gestational diabetes. There is variation both in the actual glucose level and in the blood test that measures the level. Rebecca's measured glucose level one hour after ingesting the sugary drink varies according to the Normal distribution with μ= 140+# mg/dl and σ = #+1 mg/dl, where # is the last digit of your GCU student ID number. Using the Central Limit Theorem, determine the probability of Rebecca being diagnosed with gestational diabetes if her glucose level is measured: Once? #+2 times, where # is the last digit of your student ID? #+4 times, where # is the last digit of your student ID? Comment on the relationship between the probabilities observed in (a), (b), and (c). Explain, using concepts from lecture why this occurs and what it means in context. 2. Suppose next that we have even less knowledge of our patient, and we are only given the accuracy of the blood test and prevalence of the disease in our population. We are told that the blood test is 9# percent reliable, this means that the test will yield an accurate positive result in 9#% of the cases where the disease is actually present. Gestational diabetes affects #+1 percent of the population in our patient’s age group, and that our test has a false positive rate of #+4 percent. Use your knowledge of Bayes’ Theorem and Conditional Probabilities to compute the following quantities based on the information given only in part 2: If 100,000 people take the blood test, how many people would you expect to test positive and actually have gestational diabetes? What is the probability of having the disease given that you test positive? If 100,000 people take the blood test, how many people would you expect to test negative despite actually having gestational diabetes? What is the probability of having the disease given that you tested negative? Comment on what you observe in the above computations. How does the prevalence of the disease affect whether the test can be trusted?3. As we have seen in class, hypothesis testing and confidence intervals are the most common inferential tools used in statistics. Imagine that you have been tasked with designing an experiment to determine reliably if a patient should be diagnosed with diabetes based on their blood test results. Create a short outline of your experiment, including all of the following: A detailed discussion of your experimental design. How is randomization used in your sampling or assignment strategy? The type of inferential test utilized in your experiment. A formal statement of the null and alternative hypothesis for your test. A confidence interval for estimating the parameter in your test. An interpretation of your p-value and confidence interval, including what they mean in context of your experimental design *NOTE: USE THE ATTACHED EXCEL SHEET TO GENERATE YOUR VALUES FOR EACH PART OF THE PROJECT!This assignment uses a rubric and it should be reviewed before submission to ensure all expectations are being met.APA style is not required, but solid academic writing is expected. You are not required to submit this assignment to LopesWrite.*******Week 5 Homework*****Homework consists of 92 questions, I only need a B.
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