Your work on timer program 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 large box has a list from 1 to 10 with two entries per line. The last entry is also stored in the smaller box on top.
Your TIMER data from 20 fast clicks
1 138.4063 138.4063
2 138.5313 .125
3 138.6875 .15625
4 138.8125 .125
5 138.9531 .140625
6 139.0625 .109375
7 139.1875 .125
8 139.3281 .140625
9 139.4688 .140625
10 139.5938 .125
11 139.7188 .125
12 139.8438 .125
13 139.9688 .125
14 140.125 .15625
15 140.2813 .15625
16 140.4219 .140625
17 140.5469 .125
18 140.7031 .15625
19 140.8438 .140625
20 141 .15625
21 141.1406 .140625
22 141.2813 .140625
23 141.4219 .140625
24 141.5313 .109375
Your average time interval for 20 time intervals
.13587
I subtracted the first clock time from the last and divided by 23.
Your frequency distribution for the 20 time intervals (interval, number of times it was observed)
.109375, 2
.125, 7
.125.13020, 1
.140625, 8
.15625, 5
Your general comment to this point
I'm not sure what to make of the number .125.13020. It seems like two numbers got combined, but I don't know how that could happen.
Why did you observe only certain time intervals?
Looking at the numbers below, it appears they're being rounded. My only guess is that the program is compensating for the rounding error somehow.
The program is not useless, but may be limited when measuring very short intervals.
What did you see when you looked at the differences between time successive time intervals?
0.01563 can be rounded up from 0.015625 those numbers (negative and positive) and its double negative and positive) are the only numbers that appear. The program is limited at very short intervals.
Your time intervals for 7 complete breaths:
7.671875
9.265625
9.453125
6.875
6.984375
8.875
Your general comment to this point:
Why did you rarely, if ever, observe that same time interval twice?
At longer time intervals, the program is more accurate.
Do you think this program is accurate to .1 or .01 ...
I think statement b is the most accurate.
We noticed the rounding error when the intervals were smaller than that.
Copy of a few lines of your spreadsheet from the TIMER program.
Exp_0_resp_rate
event number clock time time interval
1 6384.844 6384.844
2 6392.516 7.671875
Your data look good.
After the due date we will be discussing this experiment further via an online forum.