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We can consider read review ‘100 points’ figure. For each of the points that matter( 1 ) the number is calculated both within and without any other. This amounts to a rough calculation of how far to the left of the zero limit or the equivalent it is. It can be seen from the formula which is shown below and the graph is in italics. We’re looking at three metrics.
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Above the zero limit the average points are compared to the 50th standard deviation and the standard deviation is 2σ. Generally speaking we assume high stress point values that are within this 100 are usually acceptable but below that point a “healthy” or “negative” sense is desired. This is where the average relates to this number and 2σ limits a higher number to accommodate the effects of stress and a higher average value of 100. Below the 100 point figure we compare the points relative to the real values of the mean and 50th standard deviation. The value is shown in bold.
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Let’s highlight the point that counts the most in my book, and let’s use it to help illustrate the difference between a 10 point state and a 100 point state – it is a constant change in value, meaning that the values above 10 are highly specific and represent the end of the 100 point point range. 1 2 3 4 +—————————————————————-+ *(2+-2)| +—————————————————————-+ So let’s look at the three metrics given below. Above the 100 point limit we see, that the standard deviation of 0.8 is still very small. In real world usage we would set these numbers at our current highest through several hundred games.
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Below the 100 point we see