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Standard Deviation & the Normal Model

Horizontales
tells how many standard deviations a value is from the mean
the process of multiplying each value by a constant that multiplies both the measures of position and measures of spread by that constant
numerical attribute of a model
display to help assess whether a distribution of data is approximately Normal
in a Normal Model, about 68% of the values fall within 1 standard deviation of the mean, about 95% within 2 standard deviations, and about 99.7% within 3 standard deviations
Verticales
the value found by subtracting the mean and dividing by the standard deviation
the square root of the variance
type of Normal model with mean 0 and standard deviation 1
numerical attribute of a set of data
model used for certain unimodal, symmetric distributions
the sum of the squared deviations from the mean, divided by the count minus one
center of the Normal model