• script.R
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# verify that the alternative estimator is unbiased
n <- 100
w <- c(rep((1+0.5)/n, n/2), rep((1-0.5)/n, n/2))
# define the alternative estimator mu_tilde
# compute repeatedly estimates for both estimators and
store the results in est_bar and est_tilde
set.seed(123)
# compute the sample variances for est_bar and
est_tilde
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  • R Console
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