Phy 201
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 **
Each time you click it gives you the number of how many times you have click and the time interval between each.
** Your TIMER data from 20 fast clicks **
10 233.1602 .15625
11 233.3164 .15625
12 233.4727 .15625
13 233.6289 .15625
14 233.7695 .140625
15 233.9063 .1367188
16 234.0625 .15625
17 234.2031 .140625
18 234.3594 .15625
19 234.5156 .15625
20 234.6563 .140625
21 234.8125 .15625
22 234.9531 .140625
23 235.1094 .15625
24 235.2656 .15625
25 235.4063 .140625
26 235.5625 .15625
27 235.7188 .15625
28 235.8594 .140625
29 236.0313 .171875
30 236.1719 .140625
31 236.3242 .1523438
32 236.4805 .15625
33 236.625 .1445313
34 236.7773 .1523438
35 236.9492 .171875
36 237.0898 .140625
37 237.2461 .15625
38 237.418 .171875
39 237.5586 .140625
40 237.7148 .15625
** Your average time interval for 20 time intervals **
.15839844
I got this average by adding the 1st 20 intervals together and then dividing their sum by 20.
** Your frequency distribution for the 20 time intervals (interval, number of times it was observed) **
.15625, 12
.140625. 7
.1367188, 1
.171875, 1
** Your general comment to this point **
I got the average just fine using the longer method of adding them all up and then dividing, but what is the quicker method?
Subtract the last clock time from the first and divide by the the number of intervals (clock times are in the second column).
** Why did you observe only certain time intervals? **
The program reported certain times so frequently because that is the most common amount of time that it took for each click. The timer is not flawed, rather approximate based on the person's reaction of clicking, and no this does not make it useless. The reaction time it takes to click will vary here and there but for the most part when you get in a steady rhythm there more than likely will be a time that appears more frequently than others.
** What did you see when you looked at the differences between time successive time intervals? **
The most obvious thing to be concerned with in the numbers in the last column is that several of them are negative numbers and some are positive. The negative numbers simply mean that you should subtract that amount (as a positive number) from its corresponding time interval to get to the next time interval. With the positive numbers you simply add the them to the corresponding time interval to reach the next time interval. This tells you that the intervals are not always going to be constant. Sometimes it takes a little more for a click and sometimes a little less.
** Your time intervals for 7 complete breaths: **
3.761719
5.164063
5.238281
5.726563
5.914063
6.316406
10.5625
6.660156
6.445313
6.925781
12.441533
** Your general comment to this point: **
** Why did you rarely, if ever, observe that same time interval twice? **
Because it seems as the more relaxed your breathing gets, the greater the interval between breaths and even if the interval does decrease from time to time it is not at a constant rate.
** Do you think this program is accurate to .1 or .01 ... **
D.
** Copy of a few lines of your spreadsheet from the TIMER program. **
Breaths timed at inhalation
event number clock time time interval
1 2729.727 2729.727
2 2733.488 3.761719
3 2738.652 5.164063
4 2743.891 5.238281
** **
40 minutes
** **
&#Your work looks good. See my notes. Let me know if you have any questions. &#