Analyze the average time on hold for each given interval.
Week 1 to Week 3: Time decreased from 7 minutes to 3 minutes.
Week 1 to Week 4: Time decreased from 7 minutes to 2 minutes.
Week 4 to Week 6: Time increased from 2 minutes to 5 minutes.
Week 3 to Week 5: Time increased from 3 minutes to 3 minutes.
The average time spent on hold increased during the interval from week 4 to week 6, so the answer is week 4 to week 6 .
Explanation
Understanding the Problem We are given a table that shows the average time on hold with a help desk for 6 weeks. We need to determine during which interval the average time spent on hold increased.
Analyzing the Intervals Let's analyze the given intervals:
Week 1 to Week 3: The average time decreased from 7 minutes to 3 minutes.
Week 1 to Week 4: The average time decreased from 7 minutes to 2 minutes.
Week 4 to Week 6: The average time increased from 2 minutes to 5 minutes.
Week 3 to Week 5: The average time increased from 3 minutes to 3 minutes (no change).
Identifying the Interval From the analysis, we can see that the average time spent on hold increased during the interval from Week 4 to Week 6.
Final Answer Therefore, the answer is week 4 to week 6.
Examples
Understanding trends in data, like the time people spend on hold, is useful in many real-world situations. For example, a business might track customer wait times to identify periods of high demand and adjust staffing levels accordingly. Similarly, a doctor's office might monitor appointment wait times to improve patient satisfaction. By analyzing these trends, organizations can make informed decisions to optimize their operations and provide better service.