Simulation of power analysis
In the Testing uniform distribution section of Chapter 2, Understanding Randomness and Random Numbers, we introduced the concept of statistical testing. A statistical test is a procedure that allows us to verify with a high degree of confidence our initial hypothesis, which is also called a working hypothesis or null hypothesis. This is a calculation procedure based on the analysis of the numerical data we have available, data that is interpreted as observed values of a certain random variable.
The power of a statistical test
The power of a statistical test provides us with important information on the probability that the hypotheses formulated are confirmed by the data. In this way, we will be able to evaluate the reliability of the results of a study and, more importantly, to evaluate the sample size necessary to obtain statistically significant results.
Hypothesis tests allow us to verify whether, and to what extent, a given hypothesis is supported...
