https://blogs.lotterypost.com/jadelottery/2011/12/some-samples2.htm JADELottery's Blog: Some Samples en-us Lottery Post RSS Generator https://blogs.lotterypost.com/jadelottery/2011/12/some-samples2.htm#c72531 https://blogs.lotterypost.com/jadelottery/2011/12/some-samples2.htm#c72531 Thu, 29 Dec 2011 19:23:53 GMT JADELottery <br />the equation for the curve is =1500*(1/(20*SQRT(2*PI())))*EXP(-1*("x-axis-value"^2)/(2*20^2))<br /><br />the "x-axis-value" is replaced by whatever cell has the x-axis numbers.

]]> JADELottery https://blogs.lotterypost.com/jadelottery/2011/12/some-samples2.htm#c72530 https://blogs.lotterypost.com/jadelottery/2011/12/some-samples2.htm#c72530 Thu, 29 Dec 2011 19:16:37 GMT JADELottery <br />it's from the previous blog post - Random Normal Distribution - The Second Approximation.<br /><br />it is similar to the Normal Distribution, hence the word, Approximation.

]]> JADELottery https://blogs.lotterypost.com/jadelottery/2011/12/some-samples2.htm#c72528 https://blogs.lotterypost.com/jadelottery/2011/12/some-samples2.htm#c72528 Thu, 29 Dec 2011 19:06:54 GMT GASMETERGUY You must be on to something. Under a normal distribution curve, most of the sample would fall in the center of the curve. I see that you have samples that fall at either end of the curve. This skewness is important. May I ask how you derive your samples?

]]> GASMETERGUY https://blogs.lotterypost.com/jadelottery/2011/12/some-samples2.htm https://blogs.lotterypost.com/jadelottery/2011/12/some-samples2.htm Thu, 29 Dec 2011 16:17:37 GMT JADELottery

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