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Wordle 536 3/6






























I went back and checked everyones maths and It appears that others are using a slightly different equation:collinsmark said:...
\sigma = \sqrt{\frac{\sum \left( x_n - \mu \right)^2}{N-1}}
...
Ah, yes. In this particular application, it might be that "N" in the denominator is the better formula, maybe. It's sort of a matter of opinion/interpretation though, sort of.OmCheeto said:I went back and checked everyones maths and It appears that others are using a slightly different equation:
\sigma = \sqrt{\frac{\sum \left( x_n - \mu \right)^2}{N}}
It is about making an unbiased estimate of the variance. It should be noted that the unbiased sample variance (with N-1) is only unbiased if samples are drawn with replacement, which I believe is not the case with Wordle solutions.collinsmark said:The idea behind reducing N to Nβ1 is to make a larger, more conservative estimate of standard deviation: it's better to overestimate standard deviation than underestimate it, when there's a limited sample size.
I have been able to match the bot 3-4 times and able to beat it a couple of times. I would agree with you that playing identically with it would be boring, however my goal is to beat it at its own game and do consistently (or at least statistically) better than it. So in order to avoid comparison of apples with oranges, I have to start with the same word as the bot every time.OmCheeto said:So I checked and discovered that I had also played identically. I thought that would be very boring if everyone eventually ended up with the same algorithm, ##~\dots##
My seed word appears to be an anagram of yours.kuruman said:Wordle 548 1/6
Jackpot! There is something to be said about sticking to the same seed word for while.