It would mean that the result was 2 standard deviations above the mean. Depending on the distribution of the variable, it may be possible to attach a probability to this, or more extreme, observations.
It would mean that the result was 2 standard deviations above the mean. Depending on the distribution of the variable, it may be possible to attach a probability to this, or more extreme, observations.
It would mean that the result was 2 standard deviations above the mean. Depending on the distribution of the variable, it may be possible to attach a probability to this, or more extreme, observations.
It would mean that the result was 2 standard deviations above the mean. Depending on the distribution of the variable, it may be possible to attach a probability to this, or more extreme, observations.
Mean 0, standard deviation 1.
Mean = 0 Standard Deviation = 1
This would increase the mean by 6 points but would not change the standard deviation.
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 area between the mean and 1 standard deviation above or below the mean is about 0.3413 or 34.13%
2 standard deviation's below the mean
The mean would be negative, but standard deviation is always positive.
Information is not sufficient to find mean deviation and standard deviation.
Mean 0, standard deviation 1.
Mean = 0 Standard Deviation = 1
This would increase the mean by 6 points but would not change the standard deviation.
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 area between the mean and 1 standard deviation above or below the mean is about 0.3413 or 34.13%
There are two points of infection (the points where the curvature changes its direction) which lie at a distance of one standard deviation above mean and one standard deviation below mean.
Mean and standard deviation are not related in any way.
Standard deviation can be greater than the mean.
Standard deviation is the variance from the mean of the data.