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What tells how many standard deviations a measurement is away from the mean?
Wiki User
∙ 17y ago
the Z score, or standard score.
Wiki User
∙ 17y ago
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What word tells how many standard deviations a measurement is away from the mean?
z-score
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.
What do you do if you get a number that is not on the Normal Distribution table as it is too high so above 3?
Suspect you've made a mistake in your calculations.Looking at the Normal curve, the area under it between the mean and 3.09 standard deviations is [approx] 0.4990, ie the probability that the data could exceed 3.09 standard deviations from the mean is 2 x (0.5-0.4990) = 0.002 = 0.2% [using a half-tail table], ie it is quite unlikely that a data point is much further away from the mean than the tables' limit of 3.09.Beyond 3[.09] standard deviations away from the mean, the area under the curve changes very little in the first 4 dp, so [most] tables are going to not be of much help anyway - when 4 standard deviations away are reached, it is almost all the distribution and rounds to 1.So if you are looking at a point greater than 3 standard deviations away from the mean it is either a very unusual event that has caused it, or (more likely) you've made a mistake in your calculations.
What is the probability of randomly selecting values more then 2.57 standard deviations away from the mean in either a positive or negative direction in a normal distribution?
1% total 0.5% in either direction
How can we assess differences in quality or performance by simply comparing z values under a standard normal curve?
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.
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.
Tells how many standard deviations a measurement is away from the mean?
z 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.
