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. 2013 Feb 5;8(2):e55760. doi: 10.1371/journal.pone.0055760

Table 3. Number of Draws.

State Pr() 95% CI
Pr(AbsInline graphicClass = Abs) 0.949 [0.908, 0.990]
Arkansas Pr(VotInline graphicClass = Vot) 0.957 [0.913, 0.981]
Pr(NMInline graphicClass = NM) 0.988
Pr(AbsInline graphicClass = Abs) 0.932 [0.912, 0.980]
California Pr(VotInline graphicClass = Vot) 0.951 [0.919, 0.978]
Pr(NMInline graphicClass = NM) 0.987
Pr(AbsInline graphicClass = Abs) 0.888 [0.916, 0.978]
Connecticut Pr(VotInline graphicClass = Vot) 0.988 [0.912, 0.981]
Pr(NMInline graphicClass = NM) 0.994
Pr(AbsInline graphicClass = Abs) 0.937 [0.914, 0.977]
Florida Pr(VotInline graphicClass = Vot) 0.970 [0.917, 0.982]
Pr(NMInline graphicClass = NM) 0.998
Pr(AbsInline graphicClass = Abs) 0.928 [0.915, 0.980]
Kansas Pr(VotInline graphicClass = Vot) 0.953 [0.918, 0.982]
Pr(NMInline graphicClass = NM) 0.996
Pr(AbsInline graphicClass = Abs) 0.907 [0.921, 0.978]
Kentucky Pr(VotInline graphicClass = Vot) 0.974 [0.921, 0.978]
Pr(NMInline graphicClass = NM) 0.993
Pr(AbsInline graphicClass = Abs) 0.979 [0.915, 0.986]
Missouri Pr(VotInline graphicClass = Vot) 0.947 [0.904, 0.982]
Pr(NMInline graphicClass = NM) 0.999
Pr(AbsInline graphicClass = Abs) 0.945 [0.908, 0.991]
New Jersey Pr(VotInline graphicClass = Vot) 1.000 [0.895, 0.987]
Pr(NMInline graphicClass = NM) 0.999
Pr(AbsInline graphicClass = Abs) 0.970 [0.917, 0.982]
New York Pr(VotInline graphicClass = Vot) 0.947 [0.908, 0.985]
Pr(NMInline graphicClass = NM) 0.987
Pr(AbsInline graphicClass = Abs) 0.941 [0.911, 0.985]
Nevada Pr(VotInline graphicClass = Vot) 0.963 [0.915, 0.982]
Pr(NMInline graphicClass = NM) 0.996
Pr(AbsInline graphicClass = Abs) 0.950 [0.914, 0.986]
Oklahoma Pr(VotInline graphicClass = Vot) 0.940 [0.920, 0.980]
Pr(NMInline graphicClass = NM) 0.998
Pr(AbsInline graphicClass = Abs) 0.975 [0.912, 0.981]
Pennsylvania Pr(VotInline graphicClass = Vot) 0.971 [0.914, 0.986]
Pr(NMInline graphicClass = NM) 0.994
Pr(AbsInline graphicClass = Abs) 0.972 [0.908, 0.979]
Rhode Island Pr(VotInline graphicClass = Vot) 0.953 [0.912, 0.980]
Pr(NMInline graphicClass = NM) 0.997

Yahtzee classifier results from 1000 randomly selected Facebook users from each state. Each user was given a classification based on the Yahtzee process: “Abs” Inline graphic Abstainer, “Vot” Inline graphic Voter, “NM” Inline graphic Not Matched. The conditional probabilities are calculated as the probability of observing a true behavior conditional on the Yahtzee classification. The 95% confidence intervals are for the null distribution of 95% accuracy in the classification, calculated from a binomial distribution with the same number of draws in each category. In total, 22 of the 26 tests fall within these intervals, suggesting that deviations from 95% accuracy are due to sampling variation, and for a large sample the procedure will generate the desired level of accuracy.