span.SPELLE {mso-spl-e:yes;} span.GRAME {mso-gram-e:yes;}

 

Guitar String Length

By Mary Negley

 

 

I started this exploration by collecting my data.  I measured the length of a guitar string from a fret to the bridge of the guitar.  The length of the open string was my initial measurement and the following frets, I numbered from 1 to 22.  Below is the data that I found.

         The left column is the fret number and the right column is the distance from that fret to the bridge of the guitar. I then graphed the data in a scatter plot, using the left column as my x-values and the right column as my y-values. Below is the scatter plot.

         Then I found a function that modeled the data. First I found the ratio of each string length to the previous one.  I found this:

Next I found the mean of the ratios, which was approximately .  Then I computed a third set of data by using the equation .  Below is the new spreadsheet and the new chart.

Looking at the graph (where Series1 is the collected data and Series2 is the calculated data), my collected data seems to be pretty accurate.  A better test of the accuracy would be the following:

Calculate a measure of the error between your model and the collected data by taking the square of the difference for each time, sum the squares, and divide by the number of data points.

 

Below is the spreadsheet, where I have calculated the measure of error, using the above method.

0

65

65

0

0

1

61

61.26835

-0.26835

0.07201172

2

57.6

57.750934

-0.150934

0.02278108

3

54.4

54.4354529

-0.0354529

0.00125691

4

51.3

51.3103136

-0.0103136

0.00010637

5

48.4

48.3645885

0.03541155

0.00125398

6

45.6

45.5879774

0.01202257

0.00014454

7

43

42.9707716

0.02922836

0.0008543

8

40.6

40.5038196

0.09618036

0.00925066

9

38.4

38.1784954

0.22150464

0.04906431

10

36.2

35.9866679

0.21333206

0.04551057

11

34.2

33.9206733

0.27932667

0.07802339

12

32.3

31.9732875

0.32671252

0.10674107

13

30.2

30.137701

0.06229896

0.00388116

14

28.6

28.4074956

0.19250437

0.03705793

15

27

26.7766213

0.2233787

0.04989804

16

25.6

25.2393755

0.36062453

0.13005005

17

24.1

23.7903829

0.30961707

0.09586273

18

22.8

22.424577

0.37542296

0.1409424

19

21.4

21.1371821

0.26281792

0.06907326

20

20.2

19.9236965

0.27630355

0.07634365

21

18.8

18.779877

0.02012296

0.00040493

22

17.7

17.7017243

-0.0017243

2.9732E-06

 

 

 

 

0.04306591

The first column corresponds to the fret number, the second column corresponds to the measured length, the third column corresponds to the calculated length using the formula, the fourth column is the difference between the entries in the second and third columns and the fifth column is the squares of the entries in the fourth column.  The last entry in the fifth column, 0.04306591, is the average of the other entries in the fifth column.  It is the measure of error.  So my measured values are only 4.31% off. 

Return