Question

In: Statistics and Probability

Access the CallCenterWaitingTime.xlsx file. Each row in the database corresponds to a different call. The column...

Access the CallCenterWaitingTime.xlsx file. Each row in the database corresponds to a different call. The column variables are as follows:

  • Protocol Type: indicates protocol type, either PT or PE
  • QueueTime: Time in Queue, in seconds
  • Service Time: 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 of α=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 of α=0.05.  
  • Assess if the new protocol served its purpose. (Hint: this should be a test of means for 2 independent groups.)
  • Submit your calculations and a 175-word summary of your conclusions.
  •         
    QueueTime service time
  • PE

    43

    976

    PE

    151

    33

    PE

    57

    35

    PE

    715

    39

    PE

    45

    41

    PE

    97

    43

    PE

    239

    43

    PE

    33

    48

    PE

    31

    48

    PE

    299

    49

    PE

    27

    50

    PE

    189

    50

    PE

    51

    51

    PE

    71

    52

    PE

    57

    56

Solutions

Expert Solution

  • 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 of α=0.05.  

The hypothesis being tested is:

H0: µ = 150

Ha: µ < 150

150.000 hypothesized value
140.333 mean QueueTime
179.497 std. dev.
46.346 std. error
15 n
14 df
-0.209 t
.4189 p-value (one-tailed, lower)

The p-value is 0.4189.

Since the p-value (0.4189) is greater than the significance level (0.05), we fail to reject the null hypothesis.

Therefore, we cannot conclude that the average TiQ is lower than the industry standard of 2.5 minutes (150 seconds).

  • Evaluate if the company should allocate more resources to improve its average TiQ.

The company should not 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 of α=0.05.  

There is no group named "PT". So, this test cannot be performed.


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