The hypothesis is the main core topic of inferential statistics. In this section, we will focus on parametric tests. The basic assumption of a parametric test is the underlying statistical distribution. Most elementary statistical methods are parametric in nature. Parametric tests are used for quantitative and continuous data. Parameters are numeric quantities that represent the whole population. Parametric tests are more powerful and reliable than non-parametric tests. The hypothesis is developed on the parameters of the population distribution. Here are some examples of parametric tests:
- A t-test is a kind of parametric test that is used for checking if there is a significant difference between the means of the two groups concerned. It is the most commonly used inferential statistic that follows the normal distribution. A t-test has two types: a one-sample t-test and a two-sample t-test. A one-sample t-test is used for checking if there is a significant...
