Random Samples
A random sample is a collection of independent random variables X1, X2,..., Xn, all with the same probability distribution.
The Sample Mean
The sample mean,
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of a random sample X1, ... Xn is given by:
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If the random varables each have a normal distribution (with mean m and variance s2), then the sample mean has a normal distribution with mean m and variance s2/n, in other words:
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Expectation and Variance
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is itself a random variable and so has an expectation and variance.
These are easy to calculate, for example:
E(
Image
) = E ( SXi/n ) = (1/n)E( X1 + X2 + ... + Xn) = (1/n)[E(X1) + E(X2) + ... + E(Xn)]
If each of the random variables X1, ... Xn have expectation m, then this is equal to (1/n)(n m) = m .
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E(
Image) = m
Similarly, if each of the random variables X1, ... Xn has variance s2, it can be shown that:
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Var(
Image) = (s2)/n
The Sample Variance
The sample variance is given by:
Image
Category
