Use the link in the Jupyter Notebook activity to access your Python script. Once you have made your calculations, complete this discussion. The script will output answers to the questions given below. You must attach your Python script output as an HTML file and respond to the questions below.

In this discussion, you will apply the central limit theorem and use principles of the Normal distribution to calculate probabilities. You will demonstrate two key parts of the central limit theorem:

The distribution of sample means is approximately Normally distributed $($bell$-$shaped$)$ as the sample size increases and we repeatedly draw these samples, regardless of the shape of the population distribution from which the samples are drawn.

The average of all sample means is equal to the population mean. In practice, the average of all sample means will closely approximate the population mean.