Methodology
Ow wi get evry numba pon dis site, suh anybaddy can work out any a dem again.
All di figure dem assume a fair European wheel: 37 pocket weh equally likely, independent spinmathsIndependent spinEvry spin have di same probability dem, nuh matta wah happen bifo (one spin nuh know bout di nex one). Di base fi evry calculation pon dis site.Read di whole ting →, payoutmoney mattaPayoutWah a bet weh win gi yuh back, weh dem quote as “X to 1” on top a di stake weh come back.Read di whole ting → 36/n − 1, no la partagerule demLa partageFrench rule: wen zero hit, half a di even-money stake come back. It cut di house edge pon dem bet deh inna half, to 1.35%.Read di whole ting → unless wi seh suh. Di simulation dem use a seeded generator an state dem seed an sample size.
Figure weh come straight fram formula
ProbabilitymathsProbabilityDi chance fi a result, fram 0 to 1 or 0% to 100%. One numba: 1/37 = 2.70%.Read di whole ting → = numba dem di bet cover / 37. Expected valuemathsExpected valueDi average result pon evry bet inna di long run. −1/37 a di stake fi evry standard European bet.Read di whole ting → = −stake/37. VariancemathsVarianceA measure a ow wide di result dem spread roun di expected value. High fi straight up, low fi even-money bet.Read di whole ting → fi each unitmoney mattaUnitDi base stake weh a system or a playa work wid. Dem describe progression inna unit suh dem work at any table.Read di whole ting → = p·W² + (1 − p) − EV². Run: (18/37)ᵏ. Risk a ruinmathsRisk a ruinDi probability fi lose di whole bankroll bifo yuh reach a target or a spin count.Read di whole ting →: di gambler’s ruin formula wid p = 18/37. Sample-size estimate: normal approximation to a one-proportion test at α = 0.05 one-sided an 80% power.
Simulation dem
Monte Carlo session use even-money betbet demEven-money betRed/black, odd/even, high/low. 18 numba, pay 1:1.Read di whole ting → wid win probability 18/37. Di bet dem cap at di table limitpon di tableTable limitDi minimum an maximum bet dem allow. Di maximum a weh stop progression weh double up.Read di whole ting → an di bankrollmoney mattaBankrollAll di money yuh set aside fi play. Fi manage yuh bankroll mean yuh decide ow much a it yuh a go risk pon evry bet an evry session.Read di whole ting → weh lef; a session end at di spin count or wen it reach zero. Di progressionstrategy demProgressionAny rule weh change di stake based pon di result dem weh pass. Negative progression raise it afta loss, positive progression afta win.Read di whole ting → rule dem write dung pon each strategy page. Di seed dem fix, suh di same settin give di same result evry time yuh visit; di Session Simulator show im seed as a session numba.
Statistical test dem
Di wheel-bias page dem use Pearson chi-square goodness-of-fit wid 36 degrees a freedomlabDegrees a freedomDi numba a independent value inna a statistic. Fi a chi-square test pon 37 pocket it a 36, cause di count dem haffi add up to di total.Read di whole ting →. Di p-valuelabp-valueDi probability fi see a deviation at leas as big as di one yuh see, if di wheel did fair.Read di whole ting → come fram di regularized incomplete gamma function. Sectorpon di wheelSectorA piece a di wheel weh di pocket dem follow one anodda roun di arc, nuh a group pon di betting layout.Read di whole ting → test report di deviation inna standard deviationmathsStandard deviationDi square root a variance; ow far a result usually deh fram di expected value.Read di whole ting → a a binomial wid p = pocketgearPocketOne a di 37 compartment wid numba pon di rotor. Nex name: slot, cup.Read di whole ting →/37.
Roundin
Percentage show to two decimal, money to di cent, an wi drop di cent dem pon whole-dollar amount. Wi nuh roun di calculation dem inna di middle.
Sumting fi laugh
Evry numba yah suh can run again an come out di same.