File:The Normal Distribution.svg
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Summary
| Description |
English: The re-drawn chart comparing the various grading methods in a normal distribution. Includes: Standard deviations, cumulative percentages, percentile equivalents, Z-scores and T-scores. Inspired by Figure 4.3 on Page 74 of Ward, A. W., Murray-Ward, M. (1999). Assessment in the Classroom. Belmont, CA: Wadsworth. ISBN 0534527043
Note: The 95% range is labelled as -1.98 to +1.98 standard deviations. This is probably a typographic error, as the correct range is plus or minus 1.96 standard deviations. |
| Date | 2007-07-12 (original upload date) |
| Source | Transferred from en.wikipedia to Commons by Abdull. |
| Author | Heds 1 at English Wikipedia |
Discussion
What is the z-score which has the steepest points of the curve? My guess it is z = -1, +1. The way to tell is to differentiate the pdf and find its maxima, but not sure if I'm up to that...
Is the 1.98 sigma/z-score for 95th percentile a typo? 1.96 is nearer 95% than 1.98 which corresponds to 95.2269%...
Y axis stands not for probability, as stated, but rather for probability density. Probability itself is zero for each given point. I think this is the important point. yes this plot is wrong !
Also, another comment: the Probability (Probability Density) cannot be negative (-1.980 or -2.580) even though the X is negative.
If you want the probability within some interval, you would calculate the integral from one endpoint to the other. With the Normal Distribution, there is no elementary anti-derivative, so the values are calculated using numerical methods. This is why you usually refer to a table that contains the calculated values. In order to use the tables you must first calculate the z-score.
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This work has been released into the public domain by its author, Heds 1 at the wikipedia project. This applies worldwide. In case this is not legally possible: |
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