How many standard deviations is 16.50 from the mean?
That depends on what the standard deviation is.
The z-score of a value indicates how many standard deviations it is from the mean. If a value is 2.08 standard deviations greater than the mean, its z-score is simply 2.08. This means the value lies 2.08 standard deviations above the average of the dataset.
To determine how many standard deviations away a value of 26 is from the mean of 16, subtract the mean from the value and then divide by the standard deviation. This calculation is as follows: ( (26 - 16) / 4 = 10 / 4 = 2.5 ). Therefore, a value of 26 is 2.5 standard deviations above the mean.
95 percent of measurements are less than 2 standard deviations away from the mean, assuming a normal distribution.
Z-Score.
Z-Score tells how many standard deviations a measurement is away from the mean.
That depends on what the standard deviation is.
The sum of standard deviations from the mean is the error.
The z-score of a value indicates how many standard deviations it is from the mean. If a value is 2.08 standard deviations greater than the mean, its z-score is simply 2.08. This means the value lies 2.08 standard deviations above the average of the dataset.
It is 1.28
the Z score, or standard score.
95 percent of measurements are less than 2 standard deviations away from the mean, assuming a normal distribution.
95% is within 2 standard deviations of the mean.
z score
z-score
z score
Z-Score.