If random samples of n measurements are repeatedly
drawn from a population with a finite mean µ and a standard
deviation σ, then, when n is large, the relative frequency
histogram for the sample means (calculated from the
repeated samples) will be approximately normal with a
mean µ and a standard deviation equal to the population
standard deviation, σ, divided by the square root of n.
(Note: The approximation becomes more precise as n
increases.)
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drawn from a population with a finite mean µ and a standard
deviation σ, then, when n is large, the relative frequency
histogram for the sample means (calculated from the
repeated samples) will be approximately normal with a
mean µ and a standard deviation equal to the population
standard deviation, σ, divided by the square root of n.
(Note: The approximation becomes more precise as n
increases.)
?