Mean = 100
Standard Deviation = 25
(120 -100) / 25 = 0.80
th z value of .80 from the table = .2881
P(100-120) = 28.81%
What percentage of calls are completed in less than 60 minutes ?
(60 - 100) / 25 = - 1.6
from the table the z value is .4452
(one side), then : .5000 - .4452 = .0548
P(60) = 5.48%
34.1% with the normal distribution.
Standard deviation is the variance from the mean of the data.
In a normal distribution, approximately 68% of the population falls within one standard deviation of the mean, and about 95% falls within two standard deviations. Therefore, to find the percentage of the population between one standard deviation below the mean and two standard deviations above the mean, you would calculate 95% (within two standard deviations) minus 34% (the portion below one standard deviation), resulting in approximately 61% of the population.
The mean is the average value and the standard deviation is the variation from the mean value.
* * *
Standard deviation doesn't have to be between 0 and 1.
Standard deviation is the square root of the variance.
34.1% with the normal distribution.
Standard deviation is the variance from the mean of the data.
Standard error of the mean (SEM) and standard deviation of the mean is the same thing. However, standard deviation is not the same as the SEM. To obtain SEM from the standard deviation, divide the standard deviation by the square root of the sample size.
The distance between the middle and the inflection point is the standard deviation.
In a normal distribution, approximately 68% of the population falls within one standard deviation of the mean, and about 95% falls within two standard deviations. Therefore, to find the percentage of the population between one standard deviation below the mean and two standard deviations above the mean, you would calculate 95% (within two standard deviations) minus 34% (the portion below one standard deviation), resulting in approximately 61% of the population.
The standard deviation is the square root of the variance.
The mean is the average value and the standard deviation is the variation from the mean value.
* * *
The area between the mean and 1 standard deviation above or below the mean is about 0.3413 or 34.13%
The more precise a result, the smaller will be the standard deviation of the data the result is based upon.