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Find three ordered pairs that result from the rule . Use at least one positive value and one negative value. SHOW ALL OF YOUR WORK PLEASE.
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What is the rule you're referring to?
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DATCB 565 University of Phoenix Data Analysis and Business Analytics Assessment
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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).
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Hence, the least squares line for the data is, Sweetness Index = 6.25 -0.00231Pectin (ppm). Part B: The value of represent ...
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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
14 pages
Multiple Regression
The Q-Q plots for different transformations can be given below; Observably, a huge portion of points lie closer to the dia ...
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The Q-Q plots for different transformations can be given below; Observably, a huge portion of points lie closer to the diagonal line indicating that ...
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