z-score
The answer depends on the individual measurement in question as well as the mean and standard deviation of the data set.
1% total 0.5% in either direction
z value looks at standard deviations away from the mean. if its tests scores, a higher positive z value means they are higher away from the mean in a positive direction the opposite is true for a negative z score.
Oh, dude, if you've got a number that's off the charts and not on the Normal Distribution table because it's like, way too high, you can just say it's like, super rare or extreme. Just pretend it's a celebrity at a regular person party - they stand out, but they're still part of the crowd, you know? Just acknowledge it's a statistical outlier and move on with your life.
Z-Score tells how many standard deviations a measurement is away from the mean.
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z-score
Z-Score.
Z-score
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.
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
95 percent of measurements are less than 2 standard deviations away from the mean, assuming a normal distribution.
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)
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.