Your 'timer program' report has been received. Scroll down through the document to see any comments I might have inserted, and my final comment at the end.
** Your General Comment **
** Describe what you see on your first 10 clicks **
The timer program records the time taken for each click.
** Your TIMER data from 20 fast clicks **
3 142.1875 .171875
4 142.375 .1875
5 142.5781 .203125
6 142.7656 .1875
7 142.9688 .203125
8 143.1563 .1875
9 143.3594 .203125
10 143.5625 .203125
11 143.7656 .203125
12 143.9531 .1875
13 144.1406 .1875
14 144.3438 .203125
15 144.5469 .203125
16 144.75 .203125
17 144.9531 .203125
18 145.1563 .203125
19 145.3594 .203125
20 145.5625 .203125
21 145.7344 .171875
22 145.9375 .203125
** Your average time interval for 20 time intervals **
.196093765
I added up all of the values and divided by 20.
** Your frequency distribution for the 20 time intervals (interval, number of times it was observed) **
.171875, 2
.1875, 5
.203125, 13
** Your general comment to this point **
** Why did you observe only certain time intervals? **
The clicks are all close together and the time between is close each click so the values should be close. The timer gets the exact values several times because it estimates the last number which explains the 5's at the end of each time. This also explains why numbers like .1830 or .1769 are not there because the timer doesn't have that kind of accuracy./no/no
** What did you see when you looked at the differences between time successive time intervals? **
The last column has number that tell the change from one time to the next. They are all really close if not the same to each other due to the estimation by the timer. The timer program lacks accuracy as numbers get smaller so estimating skews data.
** Your time intervals for 7 complete breaths: **
10.32813
9.390625
11.375
9.921875
12.15625
8.03125
12.17188
13.70313
8.953125
11.51563
** Your general comment to this point: **
** Why did you rarely, if ever, observe that same time interval twice? **
The fast clicks were fast and close together making it easier to keep rhythm so the times were very close. but breathing can change in many situations and as the time period increases the chances of getting the same time decrease with the increase in possible times between start and stop. So this makes since and is expected.
** Do you think this program is accurate to .1 or .01 ... **
d.
because the data taken with the clicks goes as far as .000001 so the data with less numbers after the decimal must be more accurate assuming the program estimates the final term. So .0001 makes since.
** Copy of a few lines of your spreadsheet from the TIMER program. **
1 1.515625 1.515625
2 2.5 0.984375
3 3.21875 0.71875
4 3.734375 0.515625
** **
3 hours
** **
Very good work. Let me know if you have questions.