Quote:
Because people cheat. While most wouldn't there probably would be a few people that would.
I'll leave the files and everything once I do post the answers so people can still ABX and the like, but I'd like to get some statistics beforehand. It'll probably be closer to Monday or Tuesday, as the views have really skyrocketed this weekend(there were just over 300 on Thursday I believe, now it's in the thousands). There have been over 200 downloads of the first group too...
it would be great if, alongside with the answers, you publish some statistics per group and file type.
Table 1: will tell us the percentage of users that got the answers correctly either by group and by filetype
GROUP | 128kbps | 320 kps | lossless | tot | participants |
---|
1 | n | k | j | n+k+j | p1 |
2 | o | p | y | o+p+y | p2 |
3 | e | d | f | e+d+f | p3 |
tot | n+o+e | k+p+d | j+y+f | | |
participants | p128 | p320 | ploss | | |
with n,k,j etc being the number of people that got the answer right, and p1,p2, p3 the total of participants for the groups and p128,p320, ploss the number of retrieved answers per filetype (right and wrong)
I also assume that 320/LL will present the highest margin of error among users, so another interesting table could answer the question "can users reliably distinguish 128kbps mp3s from higher quality files?
Here we need Table 2, which can actually be derived from Table 1 but for the sake of handiness..
GROUP | right/wrong | 128kbps | 320/lossless |
1 | Right | n | k+j |
1 | Wrong | w1 | q1 |
2 | Right | o | p+y |
2 | Wrong | w2 | q2 |
3 | Right | e | d+f |
3 | Wrong | w3 | q3 |
With a little bit of statistics we can do the math. I can do that, if you provide the table - I'll deliver. Only problem is that we probably have not many data points per group, especially group 2. Actially, Group1 and Group3 are not that diverse as music genres, so if we lack of data (we need at least 10-15 participants per group, not necessarily unique) we can aggregate that.
This way we can add some actual science to the result of the test and conclude (or not conclude) with statistical significance (or no statistical evidence) that people on head-fi are good/bad at detecting sound quality of music files.