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Q: When the normal curve is plotted according to standard deviation units each having a value of 1.00 what is it called?
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What is the square of the standard deviation called?

The square of the standard deviation is called the variance. That is because the standard deviation is defined as the square root of the variance.


Why is standard deviation of a statistic called standard error?

The standard error is the standard deviation divided by the square root of the sample size.


The standard deviation of a point estimator is called the?

standard error


What is the square root of the variance called?

Standard deviation


What is the distribution with a mean of 0 and a standard deviation of 1 called?

standard normal


What is the distribution with an means of 0 and a standard deviation of 1?

It is called a standard normal distribution.


Why variance is bigger than standard deviation?

The variance is standard deviation squared, or, in other terms, the standard deviation is the square root of the variance. In many cases, this means that the variance is bigger than the standard deviation - but not always, it depends on the specific values.


What is deviation in statistics?

Deviation, actually called "standard deviation" is, in a set of numbers, the average distance a number in that set is away from the mean, or average, number.


What is a statistical measurement that describes the variation of a data set called?

Standard Deviation


Difference between standard deviation and mean devition?

The mean deviation (also called the mean absolute deviation) is the mean of the absolute deviations of a set of data about the data's mean. The standard deviation sigma of a probability distribution is defined as the square root of the variance sigma^2,


What does it call if you multiplied deviation standard by 2 or by 3?

It is not called anything special, just 2 standard deviations or 3 sd.


What is the definition of standard deviation and variance?

The set of X1, X2, ..., XN is called X. Given that mean(X), is the sum of all X divided by N, the variance of X is mean((Xi - mean(X))2). The standard deviation of X is the square root of the variance.