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Standard Deviation (SD)
Used when we use the mean as the measure of center; measures/determines variation.
Sample Standard Deviation (s)
Using a sample to estimate standard deviation of a population.
Population Standard Deviation (sigma; aka σ)
Uses a population to find the standard deviation.
Degrees of Freedom
n-1 is used to not underestimate the value for a population parameter when using a sample.
Measure of Variation
One number that describes the spread of the data set or of the entire population.
Population Standard Deviation Formula
σ = radical{[(x1 - population mean)^2 +(x2 - population mean)^2 … (x_N - population mean)^2]/N}
N
Population size/total number of observations.
X-1 and X-2
The observations used in the population standard deviation formula.
Mu (μ)
The population mean.
Sample Standard Deviation Formula
s = radical{[(x1 - x-hat)^2 + (x2 - x-hat)^2 + … (x_n - x-hat)^2]/n-1}
X-hat
Sample mean.
Example: Calculating the Sample Standard Deviation
Given: (4, 4, 10, 10), n=4, sample standard deviation is ~3.46.
Purpose of Sample Standard Deviation
To give an unbiased estimate of sigma (σ).