In: Advanced Math
E) Another pair are called missers. They are supposed to roll 3 & 7 more often than fair dice Below is the data from 16 rolls.
{ 10, 3, 5, 7, 3, 7, 8, 10, 6, 7, 7, 11, 3, 8, 2, 11 }
Can we say to a 10% that these dice do not roll 3 & 7 the way that fair dice are supposed to?
Remember there is a chance that the guy from gamblingcollectibles.com charged me $100 for a regular pair of dice.
Number of rolls = 16
Number of times 3 and 7 have occured = 7
p_dice = 7/16 = 0.4375
For a pair of fair dice, all the possible outcomes:
1 | 2 | 3 | 4 | 5 | 6 | |
1 | (1, 1) | (1, 2) | (1, 3) | (1, 4) | (1, 5) | (1, 6) |
2 | (2, 1) | (2, 2) | (2, 3) | (2, 4) | (2, 5) | (2, 6) |
3 | (3, 1) | (3, 2) | (3, 3) | (3, 4) | (3, 5) | (3, 6) |
4 | (4, 1) | (4, 2) | (4, 3) | (4, 4) | (4, 5) | (4, 6) |
5 | (5, 1) | (5, 2) | (5, 3) | (5, 4) | (5, 5) | (5, 6) |
6 | (6, 1) | (6, 2) | (6, 3) | (6, 4) | (6, 5) | (6, 6) |
Number of times 3 and 7 occur in a roll of pair of fair dice = 2 + 6 = 8
In a fair dice 8 out of 36 rolls provide a sum of 3 or 7
p = 8/36 = 0.22, q = 0.78, standard deviation = sqrt(p*q/n) = sqrt(0.22*0.78/36) = 0.069
z-value for 90% confidence interval = 1.64
Upper range of the 90% confidence interval:
x_upper = z*standard deviation + p
x_upper = 1.64*0.069 + 0.22 = 0.333
Since, 0.4375 is greater than 0.333, we can say to a 10% that these dice do not roll 3 & 7 the way that fair dice are supposed to.