Hypothesis testing
Hypothesis testing is a statistical technique used to make inferences about a population based on a sample of data, and is a crucial component of the Scientific method. It involves formulating a Null hypothesis and an Alternative hypothesis, and then using statistical tests to determine whether the data support the null hypothesis or the alternative hypothesis. This technique is widely used in various fields, including Medicine, Social sciences, and Biology, to name a few. Statisticians, such as Ronald Fisher, have made significant contributions to the development of hypothesis testing. The process of hypothesis testing involves several steps, including Data collection, Data analysis, and Interpretability of results.