For this problem, we are going to be using the above code to recreate some of the mathematics behind the Introduction to Bayesian Statistics lecture. The math has already been worked out for you, so you will only have to manipulate code, but if you are curious of the math behind the update for the mean of a distribution, you can look here:The math for this problem is located under the continuous distributions section where our model parameter is mu and we have a known variance sigma^2

For this problem, we are going to be using the above code to recreate some of the mathematics behind the Introduction to Bayesian Statistics lecture. The math has already been worked out for you, so you will only have to manipulate code, but if you are curious of the math behind the update for the mean of a distribution, you can look here:The math for this problem is located under the continuous distributions section where our model parameter is mu and we have a known variance sigma^2

Before we get started, we need to get some values.

First, what is the mean of the prior that we are using?