Chapter 7: Statistical Hypothesis Testing
In Chapter 6, Parametric Estimation, you learned two important parameter estimation methods, namely, the method of moments and MLE. The underlying assumption for parameter estimation is that we know that the data follows a specific distribution, but we do not know the details of the parameters, and so we estimate the parameters.
Parametric estimation offers an estimation, but most of the time we also want a quantitative argument of confidence. For example, if the sample mean from one population is larger than the sample mean from another population, is it enough to say the mean of the first population is larger than that of the second one? To obtain an answer to this question, you need statistical hypothesis testing, which is another method of statistical inference of massive power.
In this chapter, you are going to learn about the following topics:
- An overview of hypothesis testing
- Making sense of confidence intervals and...
