2) Kate works as a manager at a call center. She wants to observe how waiting times of customers to be assigned with a representative show variation so that she can schedule the working hours of employees accordingly. Her claim is that variance between waiting times is no more than 60 minutes. She keeps track of waiting times for 22 customers which are given below: 35 29 12 35 16 28 37 13 14 15 38 39 16 19 23 23 26 15 29 25 17 28 Kate wants to find the smallest Type 1 error probability that allows her to reject Ho. Define an nterval for such Type 1 error probability.

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2) Kate works as a manager at a call center. She wants to observe how waiting times of
customers to be assigned with a representative show variation so that she can schedule the
working hours of employees accordingly. Her claim is that variance between waiting times is no
more than 60 minutes. She keeps track of waiting times for 22 customers which are given
below:
35
29
12
35
16
28
37
13.
14
38
15
39
23 26
29
16
19 23
15
25
17
28
Kate wants to find the smallest Type 1 error probability that allows her to reject Ho. Define an
interval for such Type 1 error probability.
Transcribed Image Text:2) Kate works as a manager at a call center. She wants to observe how waiting times of customers to be assigned with a representative show variation so that she can schedule the working hours of employees accordingly. Her claim is that variance between waiting times is no more than 60 minutes. She keeps track of waiting times for 22 customers which are given below: 35 29 12 35 16 28 37 13. 14 38 15 39 23 26 29 16 19 23 15 25 17 28 Kate wants to find the smallest Type 1 error probability that allows her to reject Ho. Define an interval for such Type 1 error probability.
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