I need help answering questions A,B, and C at the borrom. How would I find them?
|
Overall Incoming Calls by Type |
Frequency |
Call Quality |
Frequency |
Call Errors |
Frequency |
|||
|
Check coverage of policy |
25625 |
Correct |
850 |
Incorrect coverage quote (COV) |
54 |
|||
|
Check status of claim |
22654 |
Incorrect |
150 |
Incorrect capture of claim (CLM) |
42 |
|||
|
Update address |
18723 |
Did not transfer to "Save a Policy" (SAV) |
32 |
|||||
|
File a claim |
13499 |
Incorrect claim status provided (STAT) |
22 |
|||||
|
Update information on claim |
6200 |
|||||||
|
Update Policy |
5126 |
|||||||
|
Cancel Policy |
3842 |
This is one of the tables given to me, the other has a log of all 150 incorrect calls and with call duration and reason for the call (STAT, SAV, COV, or CLM). Can you explain how I would find the answers below?
A. the probablity of an error provided in the quality summary under call quality using a sample size of 15, predict the probability of both < 2 errors or >= 5 errors using the correct discrete probability distribution. Assume calls are either correct or incorrect.
B. Using the call time mean and standard deviation from the quality sample, find the probability of a call time < 7min, between 7 and 9 min, and > 9 min.
C. Calculate and evaluate the 95% confidence interval for the mean from the call time data.



I need help answering questions A,B, and C at the borrom. How would I find them?...
Using the Quality Summary and Call Center Data, provide a
summary report for the vice president including the following
information in an essay with a minimum of 500 words:
Based on the probability of an error provided in the quality
summary under call quality using a sample size of 15, predict the
probability of both < 2 errors or >= 5 errors using the
correct discrete probability distribution. Assume calls are either
correct or incorrect.
Using the call time mean...