(100 Points maximum) Those of us working in Customer Service know that the nature of our work is changing. Enabling customers to self-serve, means that when they call into a contact center, it's often because their query or problem is too complex for them to solve themselves. And, the mor complex the problem, the longer the service call. In 2003 the average length of a service call was 3 minutes 55 seconds. In 2018 the average length of service calls was 5 minutes 12 seconds. Of course, the longer the call, the greater our cost. As Boxplot of CallCtri, CallCtr2 operators of service centers, we would like the shrink the time per call. We operate two call centers. Call Center One (CallCtrl) 15 has been handling service calls as they have traditionally been handled. 10 In our second call center (CallCtr2) we've instituted some procedural changes to see if we can reduce the mean time per call. We run a statistical test to see if the changes have been effective in reducing the average time per call. (Since we're looking for a reduction in call time, we run a one-tailed test with an a of 0.05.) CallCtr1 CallCtra The results of the test are statistically significant. Descriptive Statistics 1.(192) State the hypotheses for this test. Sample N Mean Ho: StDev SE Mean CallCtr1 15000 5.88 2.41 0.020 Hai CallCtr2 12500 5.83 2.39 0.021 2.(3) What do we mean when we say that the test results are Estimation for Difference "statistically significant?" 95% Lower Bound Difference for Difference 0.0499 0.0021 Test T-Value DF P-Value 1.72 26692 0.043 3.(3) Briefly attack or defend the following statement: "Since these results are statistically significant, we can conclude that we've found an important difference between the mean times for the two call centers." Use numbers from the above printout to support your attack or defense