Simulate 5000 samples of size 5 from a normal distribution with mean 5 and standard deviation 3
<p>I am trying to simulate 5000 samples of size 5 from a normal distribution with mean 5 and standard deviation 3. I want to then compute the mean of each sample and make a histogram of the sample means</p>

<p>My current code is not giving me an error but I don't think it's right:</p>

<pre><code>nrSamples = 5000
e &lt;- list(mode="vector",length=nrSamples)
for (i in 1:nrSamples) {
e[[i]] &lt;- rnorm(n = 5, mean = 5, sd = 3)
}

sample_means &lt;- matrix(NA, 5000,1)
for (i in 1:5000){
sample_means[i] &lt;- mean(e[[i]])
}
</code></pre>

<p>Any idea on how to tackle this? I am very very new to R!</p>