Question
I have a hypothetical set of numbers. The numbers are API calls response time in milliseconds. APIs topic is irrelevant here. Just know these numbers
I have a hypothetical set of numbers. The numbers are API calls response time in milliseconds. APIs topic is irrelevant here. Just know these numbers are a time in milliseconds. There are 24 numbers for each hour in the day. To explain: The 95th percentile response time numbers are by hour. It is to say in one hour, 95% of all these calls in 60 minutes were a response time of X milliseconds or less. For example, in the 2:00:00 hour, 95% of all API calls were 789 ms or less.
What I need to know is how to accurately get a measure of central tendency for one day/ month/ year, etc. I do not need the number, but how to do it. Should I take another percentile of percentiles? The mean? The median? The mode?
On paper and excel would be great! Thank you!
Leave a comment if you need further explanation.
| DATE / TIME | 95 Percentile Response Time (ms) |
| 00:00:00 | 465 |
| 01:00:00 | 778 |
| 02:00:00 | 789 |
| 03:00:00 | 994 |
| 04:00:00 | 643 |
| 05:00:00 | 367 |
| 06:00:00 | 657 |
| 07:00:00 | 543 |
| 08:00:00 | 221 |
| 09:00:00 | 458 |
| 10:00:00 | 997 |
| 11:00:00 | 774 |
| 12:00:00 | 709 |
| 13:00:00 | 287 |
| 14:00:00 | 111 |
| 15:00:00 | 367 |
| 16:00:00 | 621 |
| 17:00:00 | 476 |
| 18:00:00 | 690 |
| 19:00:00 | 889 |
| 20:00:00 | 607 |
| 21:00:00 | 534 |
| 22:00:00 | 462 |
| 23:00:00 | 922 |
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Entrepreneurship
Authors: Andrew Zacharakis, William D Bygrave
5th Edition
1119563097, 9781119563099
