In this chapter, we saw how to obtain useful statistical information from sample populations and probability distributions. You should now be able to summarize your data and obtain useful statistical information such as the mean, median, variance, and so on. You should also be able to plot and obtain useful statistics from theoretical probability distributions, fit your sample data to theoretical probability distributions, perform hypothesis testing using parametric and non-parametric statistical tests, and plot and test whether time series data is stationary using statistical tests.

Now that you have a foundation of how to apply statistical methods to your sample datasets, we will be moving on to linear models in the next chapter, where you will find out how to study the relationship between variables.