Craps Bar 12
Description
A Monte Carlo simulation of the dice game 'craps'.Returns a point estimate of the probability of winning craps using fair dice.
12 FOOT CASINO STYLE CRAPS TABLE FEATURES - Custom built to order from our factory in Apache Junction, Arizona (Please allow 8 - 9 weeks) - Approximate outside dimensions: 13 X 5 / Approximate inside dimensions: 11 10 X 4 - Approximately 40 to the top of the padded arm rest & 28 to the top of the. Bar the 12 - On Don't Pass and Don't Come bets the 12 is a push on the come out roll. This is how the casino keeps its advantage against wrong way bettors. Betting right - Betting with the players on the Pass Line and Come. Betting wrong - Betting against the players on the Pass Line and Come by making Don't Pass and Don't Come bets. 12 craps 12, line away, BAR DONTS, triple field 4., mark the 4, pay the field. 12 craps 12, come again, triple the field, 12 craps 3 craps 3.
Usage
Arguments
nrep | number of replications (plays of a single game of craps) |
seed | initial seed to the random number generator (NA uses current state of random number generator; NULL seeds using system clock) |
showProgress | if TRUE, displays a progress bar on screen during execution |
Details
Implements a Monte Carlo simulation of the dice game craps played with fairdice.A single play of the game proceeds as follows:
Two fair dice are rolled. If the sum is 7 or 11, the player winsimmediately; if the sum is 2, 3, or 12, the player loses immediately.Otherwise the sum becomes the point.
The two dice continue to be rolled until either a sum of 7 is rolled(in which case the player loses) or a sum equal to the point isrolled (in which case the player wins).
The simulation involves nrep replications of the game.
Note: When the value of nrep is large, the function will executenoticeably faster when showProgress is set to FALSE.
Craps Bar 12 Mile
Value
Point estimate of the probability of winning at craps (a real-valued scalar).
Author(s)
Craps Bar 12 Inch
Barry Lawson (blawson@richmond.edu),Larry Leemis (leemis@math.wm.edu)