|
Hi All
I had to assure the randomness of backgammon game's two dices. I took 8,000,000 observations and found that one of the dices is not uniform distributed. I took 80,000,000 observations and found that the dice is uniform distributed. In both tests I used Pearson Chi Square test. My questions: 1. How many observations should I take? 2. How much the 80,000,000 observations test is batter from the 8,000,000 test? Thanks in advance for your help Amit Kabiri [hidden email] [[alternative HTML version deleted]] ______________________________________________ [hidden email] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html |
|
This isn't an R question is it? PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html But I know why this happened, so I will answer your question anyway. During the first few months of rolling your die, it really was not uniform and this is what accounts for the results after a mere 8,000,000 rolls. But after the first year or two of continuous rolling the corners wear off the die - it looks more like a sphere --- check what yours looks like - it really isn't a cube like shape anymore is it?? When that happens the distribution of results looks more uniform. But you probably cannot still read the little dots on the sides anyway - the last time I did this myself they wore off after about 14,275,839 rolls. HTH! On Tue, 16 May 2006, Amit Kabiri wrote: > Hi All > > > > I had to assure the randomness of backgammon game's two dices. > > > > I took 8,000,000 observations and found that one of the dices is not uniform > distributed. > > > > I took 80,000,000 observations and found that the dice is uniform > distributed. > > > > In both tests I used Pearson Chi Square test. > > > > My questions: > > > > 1. How many observations should I take? > 2. How much the 80,000,000 observations test is batter from the > 8,000,000 test? > > > > > > Thanks in advance for your help > > > > Amit Kabiri > > [hidden email] > > > > > > > [[alternative HTML version deleted]] > > > > > [ Part 3.58: "Included Message" ] > Charles C. Berry (858) 534-2098 Dept of Family/Preventive Medicine E mailto:[hidden email] UC San Diego http://biostat.ucsd.edu/~cberry/ La Jolla, San Diego 92093-0717 ______________________________________________ [hidden email] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html |
| Powered by Nabble | Edit this page |
