Percentage of 4 standard deviations
[DOCX File]Department of Mathematics
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92.According to Chebysheff's Theorem, at least 93.75% of observations should fall within 4 standard deviations of the mean.
[DOC File]Standard deviation - 物理學系
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Standard Deviation/Standard/Scaled Score Correspondence Standard Deviation (SD) Standard Score Scaled Score 2 SD above mean 130 or above 16 or above 1 SD above mean Between 115 and 130 Between 13 and 16 Within 1 SD of mean Between 85 and 115 Between 7 and 13 1 SD below mean Between 70 and 85 Between 4 and 7 1.5 SD below mean 77.5 5.5 2 SD below ...
[DOC File]Standard Deviation/Standard Score Correspondence
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A(n) _____ represents the number of standard deviations the observed value or score falls above or below the mean. The Empirical Rule says that for a normal curve, approximately 68% of the values fall within 1 standard deviation of the mean in either direction, while 95% of the values fall within 2 standard deviations of the mean in either ...
[DOC File]Normal Curve Percentages
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At least 50% of the values are within 1.41 standard deviations from the mean. At least 75% of the values are within 2 standard deviations from the mean. At least 89% of the values are within 3 standard deviations from the mean. At least 94% of the values are within 4 standard deviations from the mean.
Standard Deviation | A Step by Step Guide with Formulas
In fact, for any number (or fraction) of standard deviations, we know exactly what percent of the data fall within that number of standard deviations of the mean. For example, consider the normal curve percentages in the table below. Given a number z of standard deviations, the table gives the percent of data values between the mean ( and ((z(.
[DOC File]AP Statistics
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However, the distribution of possible returns associated with Asset A has a standard deviation of 12 percent, while Asset B’s standard deviation is 8 percent. Both assets are correlated with the market with r …
[DOC File]CHAPTER 1
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Suppose that the “abnormal range” is defined to be glucose levels which are 1.5 standard deviations above the mean or 1.5 standard deviations below the mean. What percentage of individuals would be classified “abnormal?” Solution: This is same as asking what percentage of standard normal distribution is below z=-1.5 or above z=1.5. For ...
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