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This tells how many standard deviations a measurement is away from the mean?
Z-Score tells how many standard deviations a measurement is away from the mean.
What tells how many standard deviations a measurement is away from the mean?
the Z score, or standard score.
What tells us how many standard deviations a measurement is away from the mean?
z score
What word tells how many standard deviations a measurement is away from the mean?
z-score
What is the word which tells how many standard deviations a measurement is away from mean?
Z-Score.
A six letter word for tells how many standard deviations a measurement is away from the mean?
Z-score
What is a standardized unit that tells how far away each measurement is from the mean?
Standard deviation is a measure of the spread of data around the mean. The standardized value or z-score, tells how many standard deviations the measurement is away from the mean, and in which direction.z score = (observation - mean) / standard deviationStandard deviation is the unit measurement. This tells what the value a decimal is.
How many standard deviations a measurement is away from the mean?
The answer depends on the individual measurement in question as well as the mean and standard deviation of the data set.
Gives a standardized unit that tells how far away each measurement is from the mean?
gives a standardized unit that tells how far away each measurement is from the mean
How many standard deviations are 95 percent of measurements away from the mean?
95 percent of measurements are less than 2 standard deviations away from the mean, assuming a normal distribution.
What statistic is produced when the difference between a score and then mean is divided by the standard deviation?
z-score or standard score... tells you how many standard deviations away from the mean a particular number is in relations to all numbers in a population (or sample)
In statistics what shows how far away a measurement is from the mean or average of the set?
The "z-score" is derived by subtracting the population mean from the measurement and dividing by the population standard deviation. It measures how many standard deviations the measurement is above or below the mean. If the population mean and standard deviation are unknown the "t-distribution" can be used instead using the sample mean and sample deviation.
