The values listed below are waiting times​ (in minutes) of customers at two different banks. At Bank​ A, customers enter a single waiting line that feeds three teller windows. At Bank​ B, customers may enter any one of three different lines that have formed at three teller windows. Answer the following questions. Construct a 99​% confidence interval for the population standard deviation sigma at Bank A. Constructa 99​% confidence interval for the population standard deviation sigma at Bank B.   interpret the results found in the previous parts. Do the confidence intervals suggest a difference in the variation among waiting​ times? Does the​ single-line system or the​ multiple-line system seem to be a better​ arrangement?

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The values listed below are waiting times​ (in minutes) of customers at two different banks. At Bank​ A, customers enter a single waiting line that feeds three teller windows. At Bank​ B, customers may enter any one of three different lines that have formed at three teller windows. Answer the following questions.

Construct a 99​% confidence interval for the population standard deviation sigma at Bank A.

Constructa 99​% confidence interval for the population standard deviation sigma at Bank B.

 

interpret the results found in the previous parts. Do the confidence intervals suggest a difference in the variation among waiting​ times? Does the​ single-line system or the​ multiple-line system seem to be a better​ arrangement?

The image presents a comparative data set of two banks, Bank A and Bank B. Here are the recorded values:

**Bank A:**
- 6.4
- 6.6
- 6.7
- 6.8
- 7.1
- 7.2
- 7.6
- 7.8
- 7.8
- 7.8

**Bank B:**
- 4.2
- 5.5
- 5.8
- 6.2
- 6.7
- 7.7
- 7.7
- 8.6
- 9.4
- 10.0

The data appears to present some form of measurement or index that varies over time or conditions, comparing two banks. Bank A maintains a more consistent range between 6.4 and 7.8. In contrast, Bank B starts lower at 4.2 but ends significantly higher at 10.0, indicating more variation. 

This data could be used to analyze trends, compare performance, or evaluate other differential factors between the two banks.
Transcribed Image Text:The image presents a comparative data set of two banks, Bank A and Bank B. Here are the recorded values: **Bank A:** - 6.4 - 6.6 - 6.7 - 6.8 - 7.1 - 7.2 - 7.6 - 7.8 - 7.8 - 7.8 **Bank B:** - 4.2 - 5.5 - 5.8 - 6.2 - 6.7 - 7.7 - 7.7 - 8.6 - 9.4 - 10.0 The data appears to present some form of measurement or index that varies over time or conditions, comparing two banks. Bank A maintains a more consistent range between 6.4 and 7.8. In contrast, Bank B starts lower at 4.2 but ends significantly higher at 10.0, indicating more variation. This data could be used to analyze trends, compare performance, or evaluate other differential factors between the two banks.
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