Suppose that we use x to estimate the mean of x, when E[x] = µ, Var[x] = σ 2 . Further suppose that both µ and σ 2 have finite values. As the sample size n gets larger, the variance of x gets closer to _______ ?
Variance of X is given as
Var[X] = /n
As the increases, the term /n gets closer and closer to 0
Suppose = 50 and n = 5, then Var[X] = 50/5 = 10
and if n is increased to 50, then Var[X] = 50/50 = 1
and if n is increased to 1000, then Var[X] = 50/1000 = 0.05
Hence, As the sample size n gets larger, the variance of x gets closer to zero or 0
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