If a set of criteria returns 8% winners, can anyone tell me what the expected highest run of consecutive losers would be in 4000 trials.
To make it a bit more specific, what would be the highest number of consecutive losers in 4000 trials with at least a 50% chance of occurring?
If anyone can tell me how they made the calculation, that would be great too. I've thought about it but found that my probability statistics isn't what it used to be.
Via a spreadsheet......Label cell A1 TrialsLabel cell B1 StrikeRate Label cell C1 LLREnter 4000 in cell A2Enter 8% in cell B2Enter formula =LOG(A2)/(LOG(1-B2)*-1) in cell C2
I plugged in the labels, formula, and parameters but came up with 99.471 rather than farra's answer of 76, which is intuitively (and hopefully) closer to the mark.
Sorry to bug you with this, but possible typo in the formula?
Tpo2rated,I plugged in the labels, formula, and parameters but came up with 99.471 rather than farra's answer of 76, which is intuitively (and hopefully) closer to the mark.Sorry to bug you with this, but possible typo in the formula?
That formula estimates an outer limit to the maximum LS which is different to the mathematical expected value (76) of the distribution of all possible maximum LS's.
I make a maximum LS of 99 a 0.6% chance of occurring and 99 or less 93%.
That formula estimates an outer limit to the maximum LS which is different to the mathematical expected value (76) of the distribution of all possible maximum LS's.I make a maximum LS of 99 a 0.6% chance of occurring and 99 or less 93%.