Table 6. Non-parametric descriptive statistics of the behavioural measures for the top 5% most heavily involved bettors by total amount wagered, and the other 95% of players.
Measure | Top 5% (n = 518) | Other 95% (n = 9, 839) | ||||
---|---|---|---|---|---|---|
Median | IQR | K-S | Median | IQR | K-S | |
Duration (in days) | 35 | 120 | 0.91 | 1 | 7 | 0.84 |
Frequency | 50 | 78 | 0.98 | 100 | 50 | 0.97 |
Number of bets | 644 | 1660 | 1 | 9 | 47 | 0.84 |
Bets per day | 68 | 77 | 1 | 5 | 18 | 0.84 |
ETH per bet | 1.84 | 5.61 | 0.53 | 0.10 | 0.28 | 0.50 |
Total wagered | 986.39 | 1759.01 | 1 | 1.10 | 10.89 | 0.50 |
Net loss | 10.3 | 102.6 | 0.56 | 0.04 | 0.6 | 0.22 |
Percent loss | 0.9 | 7.6 | 0.38 | 6.6 | 57.6 | 0.56 |
All one sample K-S test statistic values are significant at the p < 0.01 level indicating the data for each measure is non-normally distributed.