# Why does my simulation not produce the expected confience interval?

I'm doing a simulation. I first simulate a mean vector and a semi - positive definite covariance matrix.

I then go through and generate 5000 samples of 10 length. I then construct the 95% Confidence interval for each sample. Finally, I see how many samples overlap the true means (which I know). However it's all of them. Shouldn't there be a few that fall out of the range?

The code is attached.

library(MASS)
library(clusterGeneration)

#set.seed(314159) # For ease of replication

######################
#Generate mean vector and sigma information
######################
trueMu<- runif(n = 2, min = 0, max = 2)
matrixData <- genPositiveDefMat(dim = 2, covMethod = "eigen", lambdaLow = 8)