Adult cyberchat uk

Trying to take extrapolate the normal distribution properties to non-normal distributions is just going to cause problems - if not be flat out wrong.

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And since there are 100 squares, the mean percent chance of winning is 1% assuming one payout at the end of the game.

BUT the median is much closer to .39%, this because the squares like 7,0 and 0,7 are biggies..are as much as 10 times the percent likelihood to win as other squares.....

The normal approximation might be something you would use in those estimates. Va R ---- The normal distribution has some nice properties which create easy ways to think of the distribution.

If I go 0.0051 - 0.01 / Std Dev I will get a percentile score below the 50% because I'm below the mean... Or how SHOULD the percentile score be calculated mathematically?

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So then if you calculate percentile by taking x - mu/ std deviation Then use the NDistribution table to get percentile, then is that the wrong thing to do? Since this uses mean, not median, as the 50th percentile, where x = mu and Z-score is 0." x - mu/ std deviation" transforms everything into a standard normal.

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