I believe the standard deviations are measured from the median, not the mean.1 Standard Deviation is 34% each side of median, so that is 68% total.2 Standard Deviations is 48% each side of median, so that is 96% total.
95%
99.7% of scores fall within -3 and plus 3 standard deviations around the mean in a normal distribution.
The sum of standard deviations from the mean is the error.
95% is within 2 standard deviations of the mean.
About 81.5%
I believe the standard deviations are measured from the median, not the mean.1 Standard Deviation is 34% each side of median, so that is 68% total.2 Standard Deviations is 48% each side of median, so that is 96% total.
95%
about 68%
When using Chebyshev's Theorem the minimum percentage of sample observations that will fall within two standard deviations of the mean will be __________ the percentage within two standard deviations if a normal distribution is assumed Empirical Rule smaller than greater than the same as
The probability of the mean plus or minus 1.96 standard deviations is 0. The probability that a continuous distribution takes any particular value is always zero. The probability between the mean plus or minus 1.96 standard deviations is 0.95
How many standard deviations is 16.50 from the mean?
99.7% of scores fall within -3 and plus 3 standard deviations around the mean in a normal distribution.
The sum of standard deviations from the mean is the error.
All minor deviations occurring with two standard deviations under the Gaussian curve are considered normal. Deviations occurring outside of two standard deviations are considered abnormal.
95% is within 2 standard deviations of the mean.
percentage of 1.33 = 1.33 *100% = 133%